Openai Jobs in Usa

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• A typical day will involve a mix of hands-on coding, architectural design, and research.
  
• The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
  
• This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
  
• They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
  

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• Python
  
• JavaScript/TypeScript
  
• AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
  
• AI Models (e.g. Claude, OpenAI, etc.)
  
• AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
  
• Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
  
• Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
  
• API Design
  

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• Deep hands-on experience in Python for AI/ML development.
  

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• Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
  
• Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
  
• Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
  

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• Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
  
• Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
  
• Experience developing autonomous agents using cloud-based AI services.
  
• Experience with prompt engineering techniques and model fine-tuning.
  
• Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
  
• Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
  

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• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

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• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL
  

At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.

ESSENTIAL DUTIES AND RESPONSIBILITIES

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.

• Design and build AI-powered applications using Large Language Models (LLMs) for enterprise use cases.
• Develop Retrieval-Augmented Generation (RAG) solutions using structured and unstructured enterprise data such as documents, manuals, tickets, ERP data, and knowledge bases.
• Build and orchestrate AI agents that can reason, plan, and interact with tools, APIs, and workflows.
• Implement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, access control, and output validation.
• Work with multimodal AI models including text, image, and video use cases such as video analysis, summarization, and optimization.
• Integrate AI solutions with existing enterprise systems such as Salesforce, ERP platforms, data lakes, APIs, and internal applications.
• Partner with security and compliance teams to ensure responsible AI usage, data privacy, and governance.
• Prototype quickly, then harden solutions for production with monitoring, logging, evaluation, and performance optimization.
• Mentor and upskill existing developers on AI concepts, patterns, and best practices.

Required Skills & Experience

• 5+ year of full stack development experience.
• Strong software engineering background with experience building production-grade applications.
• Hands-on experience with modern LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or similar.
• Practical experience building RAG pipelines using vector databases and embedding models.
• Experience with prompt engineering, prompt versioning, and evaluation techniques.
• Solid Python experience for AI development.
• Experience integrating AI services with REST APIs, microservices, and cloud-native architectures.
• Familiarity with cloud platforms such as AWS or Azure, including deployment, scaling, and security concepts.
• Understanding of data formats such as JSON, XML, and document-based data.
• Ability to translate business problems into AI-driven technical solutions.

Preferred Qualifications

• Experience with vector databases such as Pinecone, FAISS, Weaviate, or similar.
• Familiarity with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent orchestration tools.
• Experience implementing AI safety controls, policy enforcement, and evaluation frameworks.
• Exposure to video or image models and multimodal AI use cases.
• Experience working in enterprise environments with security, compliance, and change management considerations.
• Prior experience mentoring or leading developers in new technical domains.

What We Offer

At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:

• Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.

• Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.

• Time for You: Paid holidays, vacation time, and personal/sick days each year.

Join us and build a career where you're supported - at work and beyond.

Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.

ABOUT COOPERATIVE LA

Cooperative LA is disrupting the construction management space and growing rapidly — taking on some of the region’s most meaningful civic, cultural, institutional, and development projects ranging from $5m to $2b in value. As a young, diverse, technology-driven and forward-thinking team, we’re redefining what owner representation can be: more rigorous, more creative, more technically-focused, and more impactful.

We’re committed to building a truly exceptional group of professionals who share our values and approach:

Project First — putting communication, clarity, and forward progress above ego.

Progress, Always — staying curious, learning relentlessly, and improving how we work every day.

People Focused — building trust, fairness, and strong partnerships across the entire project team.

Prosperity Throughout — aligning financial success for clients, partners, and our team, so everyone moves forward together.

As we expand quickly, we’re looking for the industry’s top emerging talent — entrepreneurial construction professionals who want to help shape a growing company, elevate the standard of our profession, quantify their impact and help shape the future of owner representation in Los Angeles. We are most interested in self-motivated candidates who understand the importance of urgency, efficiency, time management and prioritization to meet challenging goals.

ROLE DESCRIPTION

We are seeking a Project Manager with 6–10 years of experience who brings deep technical understanding, strong team leadership, and the ability to guide complex projects from early design through construction. General Contractor or Architect experience is preferred.

With oversight and training from a Project Executive or President, the Project Manager will oversee and coordinate all aspects of challenging construction projects, including planning, scheduling, budgeting and managing resources to ensure successful project completion and satisfied clients. The projects include multifamily (including modular), sports arenas, historic, public-private partnerships, utility infrastructure, hospitality, industrial and more.

This is a full-time, on-site role based in Los Angeles, CA with offices located in Pasadena and Culver City. Projects are located throughout Los Angeles County.

The team is currently working 2-3 days per week in the office and 2-3 days per week from home or project sites.

RESPONSIBILITIES

True Builder

• Manage medium-to-large projects across design, permitting, bidding, contracting and construction.
• Quickly identify interdisciplinary conflicts in drawings and consultant deliverables.
• Oversee schedule reviews, delay/acceleration planning, and change-order negotiations.
• Apply lessons learned and constructability knowledge to guide team decisions.
• Maintain strong technical fluency across trades and building systems.
• Share construction lessons learned with teammates in monthly staff meeting presentations.
• Mentor teammates on specific trade expertise to elevate the company’s overall technical ability.

Team Leadership

• Assume responsibility for project and team success, including that of external partners.
• Lead multidisciplinary consultant and contractor teams with clarity, accountability and a Project First mindset.
• Create and update project schedules, permit logs, utility matrices, issues list and any other tools to surface critical issues and focus the team on priorities. 
• Build strong relationships with clients, public agencies, and project partners.
• Navigate and resolve inter-consultant conflicts swiftly and diplomatically.
• Push teams toward best practices and elevate the performance of the entire project ecosystem.
• Mentor Assistant Project Managers and support their career development.
• Represent Cooperative LA with professionalism, authority, and reliability.

Meeting Leadership

• Lead structured, efficient meetings that produce decisions, commitments, and forward motion.
• Properly prepare for meetings and guide discussions toward resolution in meeting or by specific due dates.
• Capture and distribute meeting notes within 24 hours that are accurate, action-oriented, and governed by due dates.
• Push for clear deadlines informed by project targets and ensure follow-through across all participants.
• Create spin-off coordination sessions when technical issues require deeper focus.

Quality Deliverables

• Produce and oversee high-quality schedules, budgets, reports, logs, risk trackers, and other project documentation.
• Tailor deliverables to meet client needs while maintaining firm-wide standards.
• Provide detailed feedback and quality control on APM deliverables.
• Develop improved tools, templates, GPTs or processes when existing ones aren’t sufficient.
• Ensure all reporting surfaces risks and drives timely decision-making.

Integrity

• Serve as a trusted advisor to clients and a stabilizing force for the team.
• Communicate difficult truths with diplomacy and professionalism.
• Hold yourself and others to high ethical standards.
• Practice authenticity and courage with sharing ideas, stating limitations and flagging concerns.
• Diligently and urgently protect the client’s budget and schedule as if it was your money.
• Demonstrate humility, fairness, and accountability, especially under pressure.
• Model Cooperative LA’s values in every interaction.

 Technologies

• We use Smartsheet, OpenAI, Bluebeam, Procore, Primavera, EOS, Pipedrive, Microsoft Suite and more.
• Those with a curiosity around new technologies and finding better ways to work do exceptionally well here.

What We’re Looking For

• 6–10 years of experience in development, construction management, architecture, engineering, or similar fields. General Contractor or Architect experience is preferred.
• Strong technical expertise across major trades and building systems.
• Proven ability to lead interdisciplinary teams and manage complex workflows.
• Excellent communication, meeting leadership, and conflict-resolution skills.
• Ability to mentor junior staff, organize large efforts, and deliver high-quality work under tight timelines.
• Alignment with Cooperative LA’s values and commitment to excellence.
• Experience managing projects in Los Angeles is preferred.
• Ability to work three times a week at our main office in Pasadena.

Salary & Benefits

• The annual salary range for this role is $145,000 to $162,000.
• Annual performance based bonuses.
• Clarity and support for upward mobility using C.LA's Competency Ladders.
• Remote workdays 2 days a week.
• AI training and immersion.
• 6% 401k Employer Match.
• 100% medical coverage for employees on base plans.
• Profit Interest Units (PIUs) Program Eligibility.
• Flexible PTO Policy.
• Professional development allowances for ULI, AIA, etc.
• Weekly lunches and quarterly team building events.
• Beautiful offices in Pasadena and Culver City working alongside AEC & Development firms as co-tenants.

How to Apply

• If you’re interested in this role, email your resume or CV to with the subject line: “Project Manager — [Your Name]”

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled

Job Description

We are seeking a highly skilled and experienced Lead AI Engineer to join our dynamic team. The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:

• 
  
• Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
  
• Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
  
• Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
  
• Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.
  

This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.

Duties and Responsibilities

• 
  
• Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
  
• Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
  
• Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
  
• Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
  
• Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
  
• Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
  
• Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
  
• Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.
  
• Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback.
  
• Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources
  

Required Qualifications

• 
  
• Bachelor's degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
  
• 5+ years of proven experience developing and deploying production-grade AI/ML systems.
  
• Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
  
• Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
  
• Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
  
• Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
  
• Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
  
• Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.
  

Preferred Qualifications:

• 
  
• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
  
• Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
  
• Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
  
• Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
  
• Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
  
• Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
  
• Experience in regulated industries or environments requiring strict compliance and data governance standards.
  

The Global Account Manager is responsible for developing and maintaining key customer accounts, working both independently and in collaboration with an account team. This role has both strategic and tactical responsibilities. The Global Account Manager ensures that Cohu is positioned for long‑term success with assigned customers by aligning internal resources and coordinating operational execution to meet or exceed customer requirements and expectations.

Essential Functions / Major Responsibilities

• Maintain overall responsibility for managing Cohu’s business and relationships with assigned customer accounts. Collaborate with global cross‑functional teams (Engineering, Manufacturing, Service, Sales, Finance, Operations) to communicate customer expectations and ensure Cohu is meeting bookings targets and achieving desired market share.

• Serve as the primary internal and external contact for customer issues. Lead meetings to define and present technical information and drive delivery schedule communications.

• Schedule and coordinate regular product reviews, management reviews, technology roadmap discussions, and other meetings to understand customer requirements, identify growth opportunities, and influence future business.

• Communicate regularly with customers as their primary point of escalation and incident management. Own customer issues, ensure timely resolution, and escalate to senior management when necessary.

• Build and cultivate strong relationships across multiple levels within customer organizations to achieve strategic selling objectives by influencing key stakeholders.

• Maintain visibility into customer operations and plans. Identify and address potential gaps in Cohu’s performance before they escalate. Monitor and communicate customer strategy shifts that may impact Cohu’s business.

• Create and deliver technical presentations as needed.

• Prepare and distribute regular reports documenting account activities, key events, status updates, and action items.

• Take ownership of customer satisfaction scorecards; address issues with urgency to maintain a high level of customer satisfaction.

• Prepare timely responses to RFQs and RFIs.

• Lead contract negotiations, collaborating with internal stakeholders to define negotiation strategies and achieve optimal results.

• Provide leadership in setting work priorities and schedules across the organization to support customer needs.

• Identify, define, and develop new business opportunities.

• Prepare accurate and timely forecasts.

• Coordinate and host customer meetings and conference calls. Lead or participate in Equipment User Group meetings as appropriate.

Qualifications

Education

• Bachelor’s degree, preferably in Engineering with emphasis in Mechanical, Electrical, or Mechatronics.

Experience

• Minimum of 5 years in the semiconductor equipment industry or related business, serving in a sales, service, or marketing capacity as a supplier or user of back‑end equipment.

• Experience working with customers manufacturing AI-, ML-, or HPC‑class semiconductor devices—such as Nvidia, Google, Microsoft, Apple, OpenAI (ChatGPT), or similar advanced computing chipmakers

Skills / Technical Requirements

• Ability to function successfully in a dynamic, high‑pressure environment while remaining calm, confident, and solutions‑focused.

• Strong interpersonal, communication (written and verbal), and negotiation skills.

• Demonstrated ability to apply situational leadership and collaborate effectively with all levels of internal and external stakeholders.

• Strong organizational and problem‑solving skills.

• Ability to maintain a sense of urgency and motivate cross‑functional teams to achieve objectives.

• Proficiency with Microsoft Office applications, particularly Excel and PowerPoint.

Job Conditions / Physical Demands

• Work is primarily performed in a typical office environment but includes regular time at customer sites and on factory floors.

• Domestic and international travel is required.

Protective Equipment

• Required in designated areas.

With more than 3000 employees worldwide, we offer challenging and rewarding work experiences, generous employee benefits and a strong company culture. If you are looking for a global publicly traded company that provides you with international experience and a challenging work environment, then Cohu is your choice.

Connect with Cohu…

Connect with your future…

Cohu firmly supports the U.S. national and various state and local policies of equal employment opportunity which are designed to provide equality of employment and advancement opportunities to every individual without regard to unlawful considerations of race, color, religion, national origin, citizenship status, ancestry, gender, gender identity or gender expression, age, marital status, sexual orientation, disability, medical conditions, pregnancy, genetic information, military or veteran status or any other legally protected category.

In addition, reasonable accommodations are available to qualified disabled individuals, upon request.

Globally, Cohu is committed to full compliance with all applicable laws and regulations governing employment, in the U.S. and in all other locations around the world where we have operations.

Senior Machine Learning Engineer (GenAI and Agentic Systems)

Location: Palo Alto, CA (Hybrid )

Role Type: Full-Time / Permanent

Summary

Our client, a pioneering HealthTech AI firm in the Bay Area, is seeking a high-calibre Senior Applied AI Engineer to bridge the gap between advanced Machine Learning and robust Software Engineering. This is an end-to-end ownership role: you will be responsible for designing the logic, building the architecture, and deploying the final services.

Core Responsibilities

• Architect AI Workflows: Design and implement sophisticated agentic workflows and automation sequences that power clinical decision-making.
• System Design & Integration: Build the backend infrastructure, scalable REST APIs, and data services required to support high-concurrency AI applications.
• Rapid Deployment: Maintain a high-velocity shipping cycle, moving from prototype to production-grade implementation in days.
• Model Orchestration: Select, fine-tune, and evaluate the performance of various LLMs (including OpenAI, Anthropic, and open-source models) for specific healthcare tasks.
• Full-Stack ML: Own the pipeline from data ingestion and time-series forecasting to real-time classification and model monitoring.

Technical Profile

• Computer Science Mastery: Expert knowledge of algorithms, data structures, and distributed systems.
• Software-Heavy Background: Professional-grade Python skills. You should be comfortable with software design patterns, testing, and CI/CD.
• Machine Learning Fundamentals: * Deep understanding of Core ML topics: classification, regression, and clustering.
• Specific experience in Time Series Forecasting and temporal data analysis.
• Proficiency in Generative AI: RAG architectures, prompt optimization, and agent frameworks.
• Infrastructure: Experience deploying services to cloud environments (GCP preferred) and a solid grasp of MLOps and pipeline automation.
• Education: BS in Computer Science or related field + 4 years of experience, or an MS + 2 years of experience.

Cultural Fit

• Startup Agility: You possess the "scrappiness" to solve problems with limited resources but the rigor to ensure those solutions are enterprise-grade.
• The "Generalist" Mindset: You enjoy working across the entire stack and are not afraid to dive into data engineering or infrastructure when needed.
• Mission-Oriented: You are motivated by the prospect of using AI to significantly improve patient outcomes and healthcare efficiency.

What’s Offered

Our client provides a highly competitive package, including a strong base salary, meaningful equity, and comprehensive premium healthcare benefits. You will join a world-class team of engineers in a collaborative, hybrid environment.

About Us:

Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.

SUMMARY:

We are seeking a skilled and adaptable Junior AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.

Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:

• Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).
• Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.
• Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights
• Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.
• Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).
• Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.
• Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.
• Other duties as assigned

REQUIRED TECHNICAL SKILLS:

• Proficiency in Python and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience applying NLP techniques to unstructured text
• Hands-on experience working with LLMs, including:
• Prompt design and iteration
• Using pre-trained models for classification or extraction tasks
• Foundational understanding of model fine-tuning, such as:
• Fine-tuning transformer models or LLMs for classification or information extraction
• Adapting existing training scripts or examples to new datasets
• Familiarity with model evaluation metrics (precision, recall, F1) and basic error analysis
• Experience working with labeled datasets and annotation outputs, including reviewing label quality
• Understanding of common ML problem types, including binary and multi-label classification
• Awareness of model bias, label noise, and false positives, with the ability to discuss tradeoffs and mitigation strategies
• Basic understanding of production ML workflows (versioning, reproducibility, monitoring concepts)

OTHER SKILLS and ABILITIES:

• Hands-on fine-tuning experience with LLMs (e.g., Hugging Face, OpenAI fine-tuning, Azure Foundry), even if limited to small-scale or academic projects
• Exposure to cloud ML platforms (Azure ML, AWS SageMaker, or GCP)
• Familiarity with RAG architectures and retrieval-based grounding
• Experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK)
• Introductory experience with weak supervision or noisy-label learning
• Interest in healthcare or biomedical NLP
• Curiosity about knowledge graphs, ontologies, or structured prediction
• Familiarity with secure data handling practices
• Willingness and ability to learn workflows for sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows

EXPERIENCE:

• Bachelor’s Degree in related field
• 1–2 years of experience in machine learning, applied NLP, or software engineering
• Demonstrated some experience training or fine-tuning ML models, not just using APIs
• Ability to collaborate with senior engineers and domain experts and incorporate feedback

BENEFITS:

• 401(k)
• Dental Insurance
• Health Insurance
• Life Insurance
• Vision Insurance
• Paid Time Off
• Free catered lunches

Onsite AI Engineer - Construction Industry Focus

New Haven, CT - Onsite 5 days per week

• Initial Assignment: Fully onsite 5 days per week at a construction site in Ft. Myers (FL) or New Haven (CT) for 1 year
• Post-Assignment: Relocation to one of the corporate offices for hybrid employment: Boston, MA (preferred), New York City (NY), New Haven (CT), Herndon (VA), West Palm Beach (FL), or Estero (FL)

Role Summary

As the on-site catalyst who turns AI ideas into working reality. Partnering with each project’s AI Champion (Project Manager or Superintendent), you’ll uncover pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. When needed, you will develop user stories and coordinate development with the central AI Studio. You’ll help advance the vision of the “Construction Site of the Future,” showing how agentic AI will transform project operations.

Responsibilities

• Workflow discovery and redesign: Lead Lean/Six Sigma workshops; map value streams; log high-impact AI agent opportunities that improve field efficiency.
• AI agent development: Build and deploy multiple production-ready AI agents using Copilot Studio, Power Apps/Automate, ChatGPT Enterprise, or code-first frameworks. Integrate agents into Teams/SharePoint on the front end and Databricks Lakehouse or other enterprise data sources on the back end.
• RAG pipelines and LLMOps: Design and operate retrieval-augmented generation (RAG) pipelines with Databricks Delta Tables, Unity Catalog, and Vector Search (or Spark/Hadoop equivalents). Monitor cost, latency, adoption, and model drift.
• Cross-cloud orchestration: Blend OpenAI, Azure OpenAI, and AWS Bedrock services through secure custom connectors to maximize flexibility and adoption.
• Data integration: Partner with Data Engineering to deliver ETL/ELT pipelines, API integrations, and event-driven connectors that feed RAG pipelines and AI agents.
• Change management and adoption: Train field teams, gather feedback, iterate quickly, and embed agents into SOPs. Track usage and ROI with adoption metrics and behavior-change KPIs.
• Stakeholder communication: Translate technical results into business value for leadership and clients. Contribute use cases and playbooks for the “Construction Site of the Future.”
• Compliance and hand-offs: Ensure all AI solutions meet the company’s data governance and security standards. Draft clear user stories and specs for escalation to central AI/Data Engineering teams when necessary.

Qualifications

• 4+ years in AI engineering, data science, or ML-focused software engineering.
• Proven experience building multiple AI agents in production environments.
• 2+ years of hands-on experience with LLMs, RAG pipelines, and LLMOps practices.
• Must have strong traditional software engineering background in Python

Bonus Points

• Experience in construction, manufacturing, or other process-heavy industries.
• Advanced degree in a technical field.

Role:

Join project teams across the U.S. as the on-site catalyst who turns AI ideas into working reality. Partnering with each project’s AI Champion (Project Manager or Superintendent), you’ll uncover pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. When needed, you will develop user stories and coordinate development with the central AI Studio. You’ll help advance the vision of the “Construction Site of the Future,” showing how agentic AI will transform project operations.

Location: New Haven, Connecticut

Responsibilities:

• Opportunity hunting and workflow redesign – Lead Lean/Six Sigma discovery workshops; map value streams, assess process and data maturity, and log low-effort/high-impact AI use cases.
• Process and data maturity assessment – Evaluate each jobsite’s current workflows and underlying data; surface gaps that block AI adoption and develop phased improvement plans with Operations Excellence to establish the right process baseline before deploying agents.
• Assess the market solutions – Evaluate off-the-shelf and platform tools; launch pilots, measure impact, and scale wins.
• Rapid AI-agent builds – Convert user stories into production-ready agents in Copilot Studio / Power Apps/Automate, ChatGPT Enterprise, or code-first frameworks within days; wire them to Teams/SharePoint on the front end and Databricks Lakehouse or other sources on the back end.
• Enterprise-grade engineering & LLMOps – Build RAG pipelines backed by Delta tables, Unity Catalog, and Databricks Vector Search; automate infra with GitHub Actions / Posit; monitor latency, cost, adoption, and drift.
• Data integrations – Partner with Data Engineering to design and maintain ETL pipelines, API integrations, and event-driven connectors feeding RAG and agents.
• Cross-cloud orchestration – Blend OpenAI, Azure OpenAI, and AWS Bedrock behind secure custom connectors; package agents for seamless rollout.
• Change enablement – Train crews, gather feedback, iterate, and track adoption and ROI metrics; apply influence model principles to embed agents into daily routines and SOPs, and track behavior change KPIs.
• Stakeholder communication – Brief project leadership and clients on agent impact in clear business terms; contribute use cases and playbooks for “Construction Site of the Future.”
• Escalation & hand-off – Draft clear user stories, data specs, and acceptance criteria for any complex solution that requires the central AI Solution Engineers or Data Engineering / Data Science team to lean in.

Qualifications:

• 3+ years in AI engineering / full-stack data applications or data science, including 2+ years building production LLM/RAG solutions.
• Bachelor’s in CS, Engineering, Physics, or a related field; Master’s preferred.
• Prior hands-on work in construction or heavy process industries (manufacturing, oil & gas, chemicals) is a significant plus.
• Demonstrated process excellence background (Lean/Six Sigma Green Belt or equivalent) with experience diagnosing process and data gaps and supporting change management plans with Operations Excellence.
• Strong facilitation and communication skills.
• Hands-on expertise with Copilot Studio, Power Apps/Automate, custom connectors, and CoE Toolkit governance.
• Programming & data stack: Python, SQL, Databricks Lakehouse, vector stores.
• DevOps & IaC: GitHub Actions (or Azure DevOps) and Posit Workbench/Connect automation or comparable CI/CD tooling; strong Git/GitHub workflow discipline.
• Integration & ETL skills: Foundational understanding of ETL/ELT design, Airflow or Databricks Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines.
• Willing and able to travel and work on active jobsites.

Role:

The Technical Product Manager, Functional AI, will lead the definition and delivery of AI solutions that transform our core business functions, including Finance, HR, Legal, Marketing, and others. This role bridges functional expertise and technical execution—partnering with business leaders to identify opportunities, shaping requirements into scalable AI solutions, and ensuring adoption that delivers measurable value. The Technical Product Manager will collaborate closely with engineers and data teams to design, pilot, and scale solutions, while maintaining clear visibility into ROI and impact for leadership. Success in this role requires strong product management discipline, applied AI expertise, and the ability to translate complex technical concepts into business outcomes.

Responsibilities:

Product Management & Business Partnership:

• Lead discovery and scoping sessions with business stakeholders across corporate functions (Finance, HR, Marketing, etc.) to identify high-value AI opportunities.
• Build strong relationships with functional leaders to understand workflows, pain points, and success measures.
• Translate business requirements into clear technical requirements that guide design, engineering, and vendor evaluation.
• Drive user experience design by ensuring solutions are intuitive, accessible, and aligned with employee needs.
• Prepare clear documentation of requirements, workflows, and decision rationale to support transparent delivery.
• Lead Agile sprint planning, backlog grooming, and retrospectives to ensure timely and high-quality delivery of product features in collaboration with cross-functional teams.

AI Solution Design & Delivery Support:

• Partner with engineers to shape solution approaches, balancing build/buy/partner considerations.
• Contribute to solution architecture discussions, ensuring designs are scalable, secure, and compliant with standards.
• Collaborate closely with delivery teams to validate functionality against requirements, proactively evaluate feature effectiveness and accuracy, and resolve scope or design ambiguities to ensure product quality and alignment with user needs.
• Support testing, pilot deployment, and adoption efforts, incorporating user feedback into iterative improvements.
• Document and communicate lessons learned, value metrics, and impact stories to demonstrate business outcomes.

Value & Impact Measurement:

• Define success metrics and measurable outcomes for each AI initiative in partnership with business stakeholders.
• Work closely with the Data Analytics team to design and maintain value tracking reports and dashboards.
• Monitor adoption, efficiency gains, and ROI, and proactively identify areas for improvement.
• Present value realization updates to leadership, ensuring clear visibility into the business impact of AI solutions.

Qualifications:

• At least 5 years of experience in technical product management with a minimum of 2 years in AI-related products.
• Bachelor’s and Master’s in Computer Science, Physics, Engineering, or associated quantitative fields.
• Have proven experience and knowledge of corporate functions (Finance, HR, Legal, Marketing, etc.)
• Exceptional facilitation and communication skills—comfortable running discovery sessions, white-boarding with PMs, and demoing prototypes to senior leaders.
• Demonstrated product-management mindset: roadmap ownership, KPI definition, and budget/risk trade-off communication.
• Hands-on experience leading change initiatives and measuring adoption by teams.
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills
• Ability to articulate technical concepts to non-technical stakeholders
• Deep understanding of AI applications, tools, and methodologies
• Proven ability to apply AI/ML techniques (e.g., NLP, document intelligence, predictive modeling, generative AI) to solve business problems in corporate functions.
• Hands-on experience with modern AI/ML tools and platforms (e.g., OpenAI, Azure AI, AWS SageMaker, AWS Bedrock or similar).
• Familiarity with the latest trends in AI (e.g., agentic AI, multimodal models, RAG) and ability to evaluate their relevance for client use cases.

**CAN BE HYBRID IN DALLAS, CHICAGO, ATLANTA, NYC, OR FORT WASHINGTON, MD**

Our client is seeking a highly skilled Lead Full Stack Engineer to join our Enterprise Architecture & Engineering team. This is a high-impact role responsible for supporting and enhancing existing web applications while driving innovation through modern cloud and full-stack technologies.

You will lead the design and delivery of scalable, cloud-native solutions using Azure, C#/.NET, React, Next.js, and Node.js, partnering closely with product and senior leadership to shape the technical roadmap.

This role requires deep technical expertise, strong architectural judgment, and proven leadership experience managing distributed (onshore and offshore) engineering teams.

Responsibilities

• Lead the design, development, and ongoing maintenance of full-stack applications using Azure, C#/.NET, React, Next.js, and Node.js
• Provide production support and ensure high availability, performance, and reliability of applications
• Troubleshoot complex production issues and drive durable, long-term solutions
• Architect and implement scalable, secure, cloud-native solutions
• Drive technical evaluations and Proofs of Concept (POCs) for emerging technologies
• Partner with product managers and senior stakeholders to translate business needs into technical solutions
• Establish and enforce architecture standards, coding best practices, and documentation
• Mentor and lead distributed engineering teams to deliver high-quality software on schedule
• Facilitate cross-functional alignment across engineering, product, and business teams
• Maintain architecture diagrams and technical documentation to support knowledge sharing

Required Qualifications

• 8+ years of hands-on software development experience, including experience in a Lead or Senior Full Stack role

Strong expertise in:

• Azure
• C# / .NET
• React and Next.js
• Node.js
• SQL Server and NoSQL databases (e.g., Cosmos DB)
• Solid understanding of microservices and event-driven architectures
• Experience with containerization technologies such as Docker and Azure Service Fabric
• Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps, Jenkins, or similar)
• Strong front-end and back-end fundamentals (JavaScript, HTML5, CSS, REST APIs, database design)
• Knowledge of application and cloud security principles (PKI, cryptography, SSL/TLS, secure protocols)
• Proven experience leading and mentoring onshore/offshore teams
• Excellent communication skills with the ability to influence senior stakeholders

Preferred Qualifications

• Experience deploying large-scale, cloud-native applications on Azure
• Familiarity with Kubernetes or other container orchestration platforms
• Exposure to Python and AI/ML technologies (e.g., Azure Cognitive Services, LangChain, Azure Document Intelligence, Azure OpenAI)
• Understanding of cloud infrastructure and security best practices
• Experience designing and executing technical POCs

Company Description

At Titl, we simplify the real estate process by eliminating paperwork, legal obstacles, and delays associated with buying, owning, or selling a home. Our advanced technology ensures transparency and peace of mind throughout every transaction. We provide a modern and user-friendly way to handle property—designed for today and prepared for future needs.

Role Description

We're seeking an experienced Full-Stack Engineer to join our team working on a sophisticated property data research and report generation platform. This role involves building and maintaining enterprise-grade systems that automate property data extraction from government sources, generate comprehensive property reports, and manage complex business workflows including payments, authentication, and blockchain integration.

What You'll Work On

• Backend Services: Develop and maintain NestJS microservices handling property data scraping, PDF generation, report aggregation, and enterprise account management
• Frontend Applications: Build responsive Next.js applications with complex state management and real-time updates
• Data Pipeline: Work with automated scraping systems using Puppeteer and AI-powered document processing (Google Document AI, OpenAI)
• Integration Development: Implement OAuth flows, Stripe payment processing, webhook handling, and third-party API integrations
• Queue Management: Design and maintain Bull queue systems for background job processing and async workflows
• Blockchain Integration: Work with Polymesh blockchain for property ownership verification and asset tokenization
• Database Design: Create efficient Prisma schemas and optimize PostgreSQL queries for complex property data relationships

Required Technical Skills

Core Stack (Must Have)

• Backend: Advanced proficiency in NestJS with deep understanding of dependency injection, decorators, guards, and service patterns
• Frontend: Expert-level Next.js 14 (App Router) and React with TypeScript
• Database: Strong Prisma ORM experience and PostgreSQL optimization skills
• TypeScript: Production-level TypeScript across full stack
• API Design: RESTful API design, DTOs, validation, and Swagger documentation Infrastructure & DevOps
• Docker: Container orchestration and development environments
• Cloud Platforms: Google Cloud Platform (Cloud Storage, Cloud Run)
• Queue Systems: Bull or similar job queue systems (Redis-backed)
• Monorepo: Experience with pnpm workspaces or similar monorepo tooling Authentication & Payments
• OAuth 2.0: Multi-provider authentication (Google, Facebook, LinkedIn)
• JWT: Token-based authentication and authorization patterns
• Stripe: Payment processing, webhooks, subscription management, and usage-based billing Specialized Skills
• Web Scraping: Puppeteer or similar browser automation tools
• PDF Processing: PDF generation, manipulation, and data extraction
• AI/ML Integration: Experience with AI APIs (OpenAI, Google AI, etc.)
• Background Jobs: Async processing, retry logic, and error handling

Highly Desired Skills

• Blockchain: Polymesh or Ethereum blockchain integration experience
• Document Processing: OCR, document AI, or legal document processing
• Property/Real Estate Domain: Understanding of property records, deeds, liens, title commitments
• Legal Tech: Experience with legal document workflows or compliance systems
• Testing: Jest, testing-library, E2E testing frameworks
• Performance Optimization: Query optimization, caching strategies, lazy loading
• Security: OWASP best practices, rate limiting, encryption

Architecture & Design Requirements

You should be comfortable with:

• Design Patterns: Service-oriented architecture, repository pattern, factory pattern
• Dependency Injection: Understanding NestJS DI container and module system
• Database Relations: Complex multi-tenant data models with proper isolation
• State Management: React Context, server/client component patterns
• Error Handling: Comprehensive error handling, retry logic, fallback mechanisms, API Security: Rate limiting, API key management, webhook signature verification

Experience Requirements

• 5+ years of full-stack development experience
• 3+ years with TypeScript in production environments
• 2+ years with NestJS or similar enterprise Node.js frameworks
• 2+ years with modern React and Next.js
• Experience building production SaaS applications with multi-tenant architecture
• Track record of shipping complex features end-to-end
• Experience with third-party integrations and webhook systems
• Domain Knowledge (Preferred)
• Understanding of property data and real estate records
• Familiarity with government data systems and public records
• Knowledge of legal document structures (deeds, liens, mortgages, title commitments)
• Experience with regulated industries and compliance requirements
• Understanding of Miami-Dade County or similar municipal systems (bonus)

Development Practices

You should have experience with:

• Git workflows: Feature branches, pull requests, code review
• Documentation: Writing clear technical documentation and API specs
• Testing: Unit tests, integration tests, E2E tests
• CI/CD: Automated testing and deployment pipelines
• Agile: Working in iterative development cycles
• Code Quality: ESLint, Prettier, TypeScript strict mode

Problem-Solving Skills

We're looking for someone who can:

• Debug complex distributed systems across multiple services
• Optimize database queries and reduce API response times
• Design scalable architectures for high-volume data processing
• Handle edge cases in automated scraping and data extraction
• Troubleshoot integration issues with third-party services
• Implement robust error handling and monitoring
• Communication & Collaboration
• Clear written communication for documentation and code reviews
• Ability to explain technical concepts to non-technical stakeholders
• Collaborative approach to problem-solving
• Proactive in identifying and addressing technical debt
• Experience mentoring junior developers (preferred)
• Package Manager Note
• This project uses pnpm exclusively for monorepo management. Experience with pnpm workspaces is preferred, but npm/yarn monorepo experience transfers well.

What Makes You Stand Out

• Contributions to open-source projects
• Experience with LangChain or LangGraph for AI orchestration
• FastAPI or Python experience (for AI service integration)
• Understanding of title insurance or property ownership verification
• Experience with Puppeteer clusters and browser farm optimization
• Background in fintech or regulated industries
• Experience with multi-environment deployments (local, staging, production)

Working Style

This role requires:

• Attention to detail when working with legal and financial data
• Systematic approach to debugging complex systems
• Ability to work independently on ambiguous problems
• Comfort with reading and understanding existing codebases
• Pragmatic decision-making balancing speed and quality
• Tech Stack Summary: NestJS • Next.js • TypeScript • Prisma • PostgreSQL • Puppeteer • Bull • OAuth • Stripe • Google Document AI • OpenAI • Docker • GCP • Polymesh • pnpm
• This role offers the opportunity to work on challenging technical problems at the intersection of PropTech, LegalTech, and AI, building systems that handle real-world property data at scale.

About GMI Cloud

GMI Cloud is a fast-growing AI infrastructure company backed by Headline VC and one of only six cloud providers worldwide to earn NVIDIA’s prestigious Reference Platform Cloud Partner designation .

We are operating hundreds of megawatts of AI-ready data center capacity across North America and a growing AI Factory footprint in Asia, delivering a full spectrum of services from GPU compute service to AI model inference API solutions. As an NVIDIA six global Reference Platform Cloud Partner, our infrastructure meets the highest standards for performance, security, and scalability in AI deployments.

We empower AI startups and enterprises to “build AI without limits,” providing everything they need to prototype, train, and deploy AI models quickly and reliably.

Role Overview

The Senior Account Director – Hyperscalers owns GMI Cloud’s relationships with:

• Microsoft Azure AI Infrastructure
• Google Global DC / 3rd-Party DC Ops
• Meta Data Center Strategy & Planning
• Anthropic Infrastructure & Capacity Delivery
• Oracle Cloud Infrastructure (OCI) DC Planning
• OpenAI Compute Infrastructure Strategy and other hyperscaler AI infrastructure teams.

Your mission is to drive multi-year, multi-MW, take-or-pay capacity agreements, enabling those organizations to scale AI compute with GMI’s GPU cloud and data center platform. This is a highly strategic role requiring deep industry knowledge, credibility, and a proven ability to work with Director–VP level infrastructure leaders.

What You Will Do

1. Build and own relationships with hyperscaler infrastructure decision-makers

• Engage Director/VP-level leaders in AI infra, DC planning, capacity engineering, and compute procurement.
• Serve as a trusted partner on AI infrastructure scaling, budget cycles, and long-term planning.

2. Drive multi-year strategic GPU capacity deals

• Structure and negotiate multi-MW GPU cluster contracts across H200, B200, B300, GB200, GB300.
• Lead offer design: capacity reservations, take-or-pay agreements, global region planning.

3. Navigate hyperscaler procurement and internal workflows

• Understand vendor onboarding, RFP/RFQ cycles, security reviews, compliance, and infra governance.
• Work closely with engineering, infra ops, DC build teams, and finance stakeholders on the customer side.

4. Partner internally with GMI SA / Infra / Ops / DC teams

• Align customer requirements with GMI’s global capacity roadmap.
• Coordinate technical validation, POC, readiness checks, and deployment schedules.
• Ensure smooth execution from contracting to delivery.

5. Drive account growth and long-term partnerships

• Develop joint roadmaps with hyperscalers for future MW expansion.
• Build multi-region execution plans across US West, Central, East and APAC/TW AI factories.
• Own quarterly business reviews, strategic planning, and long-term renewals.

What We’re Looking For

Experience & Track Record

• 10+ years in AI cloud, hyperscale infrastructure, data center, HPC, or GPU cloud industries.
• Proven success closing large-scale infrastructure or multi-year capacity deals.
• Existing relationships or prior work with hyperscaler DC / infra teams is a major plus.

Industry Background (ideal pools)

Experience at one or more of the following:

• GPU Cloud / AI Compute
• Energy-to-AI & DC Operators
• Global DC & Colo Providers

Technical & Business Skills

• Strong understanding of AI compute, GPU roadmaps, cluster architecture, IB/RoCE networks, and DC power/cooling fundamentals.
• Familiar with hyperscaler capacity planning, multi-year budgeting, procurement, vendor management, and infra governance models.
• Ability to translate complex technical requirements into clear commercial agreements.

Soft Skills

• Executive communication at Director–VP level.
• Ability to influence cross-functional stakeholders across engineering, infra ops, DC, and finance.
• High integrity, low-ego, strategic, relationship-driven mindset.

Success Metrics

• MW of contracted GPU capacity (take-or-pay / reserved capacity).
• Multi-year revenue from hyperscaler portfolio.
• Region coverage and expansion (US + APAC/TW).
• Deal velocity and execution quality.
• Strategic depth of customer partnership.

Location & Travel

• Bay Area based (preferred).
• ~10% travel to customer sites, DC partners, and industry events.

Hi

I hope you’re doing well.

My name is Sai, and I’m an Account Manager with Astir IT Solutions. We are currently working with our client on a senior-level opportunity for Agentic AI QA Engineer at Dallas, TX (Need Locals)!

Based on your background, I believe this role could be a strong fit.

Job Title: Agentic AI QA Engineer

Location: Dallas, TX (Need Locals)

Experience: 7+ years

Position type: Contract W2/C2C

Required Qualifications

• 7+ years in Software QA/Testing, with 2+ years in AI/ML or LLM-based systems; hands-on experience testing agentic/multi-agent architectures.

• Strong programming skills in Python or TypeScript/JavaScript; experience building test harnesses, simulators, and fixtures.

• Experience with LLM evaluation (exact/soft match, BLEU/ROUGE, BERTScore, semantic similarity via embeddings), guardrails, and prompt testing.

• Expertise in distributed systems testing latency profiling, resiliency patterns (circuit breakers, retries), chaos engineering, and message queues.

• Familiarity with orchestration frameworks (LangChain, LangGraph, LlamaIndex, DSPy, OpenAI Assistants/Actions, Azure OpenAI orchestration, or similar).

• Proficiency with CI/CD (GitHub Actions/Azure DevOps), observability (OpenTelemetry, Prometheus/Grafana, Datadog), and feature flags/canaries.

• Solid understanding of privacy/security/compliance in AI systems (PII handling, content policies, model safety).

• Excellent communication and leadership skills; proven ability to work cross-functionally with Ops, Data, and Engineering.

Preferred Qualifications

• Experience with multi-agent simulators, agent graph testing, and tooling latency emulation.

• Knowledge of MLOps (model versioning, datasets, evaluation pipelines) and A/B experimentation for LLMs.

• Background in cloud (AWS), serverless, containerization, and event-driven architectures.

• Prior ownership of cost/latency/SLAs for AI workloads in production

If you are currently open to new opportunities, I would appreciate the chance to connect and discuss this role in more detail. Please let me know a convenient time for a quick call, or feel free to share your updated resume.

Looking forward to hearing from you.

Thanks & Regards.

Sai

Sr. Account Manager

Astir IT Solutions, Inc.

ID: , Contact: 732-694-6000 * 795

HCLTech is looking for a highly talented and self- motivated [AI Success Engineer] to join it in advancing the technological world through innovation and creativity.

Job Title: [AI Success Engineer]

Job ID: (70183)

Position Type: Full-time

Location: Dallas, New jersey, Santa Clara, Seattle

Background:

Role Title

AI Success Engineer – Enterprise Technical Success (OpenAI / ChatGPT / Agents / API)

Location: Dallas, Santa Clara, Seattle, New jersey, Houston

Role Summary

AI Success Engineers are the primary post-sale technical owners for customer outcomes. They operate as trusted technical advisors who ensure customers deploy, adopt, and scale OpenAI capabilities into real workflows with measurable business value.

This role blends technical depth, program leadership, customer advisory, and product influence—driving account health, adoption velocity, and production readiness across OpenAI’s platform suite.

Key Responsibilities

1. Post-Sale Technical Ownership & Account Health

• Own technical success for a portfolio of strategic enterprise customers

• Act as customer-facing technical lead across deployment, adoption, and value realization

• Define and drive customer adoption roadmaps with milestones and KPIs

• Maintain strong stakeholder relationships across executive and practitioner levels

2. Workflow Discovery & Use Case Strategy

• Embed with customer teams to map workflows, pain points, and success criteria

• Identify, validate, and prioritize high-impact use cases

• Guide use case sequencing from prototype → pilot → production → scale

3. Deployment Readiness & Technical Enablement

• Guide architecture configuration and platform setup (SSO/SCIM, RBAC, connectors, etc.)

• Advise on integration patterns (RAG, tool calling, agents, evaluations)

• Run technical enablement sessions spanning ChatGPT Enterprise, API, agents, Codex as applicable

4. Program Coordination & Cross-Functional Navigation

• Coordinate account workstreams across Architecture, Adoption, Engineering, and Delivery teams

• Surface technical blockers and field patterns; escalate strategically to internal experts

• Feed customer insights into roadmap and platform improvement loops

5. Value Measurement & Reporting

• Define baselines, KPI frameworks, and post-deployment reporting

• Track adoption depth, usage health, and business impact outcomes

• Support expansion by identifying new workflows and growth paths

What Success Looks Like (6–12 months)

• Multiple use cases are in production and actively used

• Adoption expands in breadth and depth across teams and workflows

• Customer demonstrates measurable impact and repeatable deployment patterns

• Technical risks are anticipated early and mitigated proactively

Required Skills & Qualifications

• 8+ years in technical customer-facing roles (solutions engineering, customer architecture, technical delivery leadership, applied AI deployment)

• Hands-on understanding of GenAI systems: APIs/SDKs, retrieval, evals, agentic patterns, tradeoffs

• Familiarity with enterprise security (SSO, encryption, compliance frameworks)

• Comfortable with Python/JavaScript and working with REST APIs, cloud platforms

Nice-to-Have

Strongly Preferred

• Direct experience with OpenAI products and enterprise adoption programs

• Experience operating multi-workstream programs in complex enterprise environments

• Strong product instincts: turning field signals into structured feedback

Pay and Benefits

Pay Range Minimum: $ 230000 per Year

Pay Range Maximum: $ 280000 Per Year

HCLTec is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Hi

I hope you’re doing well.

My name is Sai, and I’m an Account Manager with Astir IT Solutions. We are currently working with our client on a senior-level opportunity for AWS Generative AI Architect at Alameda, CA (Locals) .

Based on your background, I believe this role could be a strong fit.

Job Title: AWS Generative AI Architect

Location: Alameda, CA (Locals)

Experience: 10+ years

Position type: Contract W2/C2C

Job Description:

• B.E/B.Tech Graduate in the field of Technology
• Experience Range
• 14 Years
• Primary (Must have skills)* - To be Screened by TA Team
• 5+ years of Strong experience in AWS which should include below services

Skills:

• AWS Lambda
• Amazon EC2
• Amazon ECS / EKS
• Amazon S3
• Amazon RDS / Aurora
• Amazon DynamoDB
• Amazon API Gateway
• AWS Step Functions
• Amazon OpenSearch
• Amazon Bedrock
• AWS IAM
• AWS CloudFormation / Terraform
• Amazon CloudWatch
• Experience with serverless and microservices-based architectures.
• Multi-region deployment and high-availability design.
• Cost optimization and performance tuning.

Job Description:

• Experience working with LLMs and GenAI platforms (e.g., OpenAI, Anthropic, open-source LLMs).
• Hands-on with Amazon Bedrock and managed AI services.
• RAG (Retrieval-Augmented Generation) architecture design.
• Vector databases (e.g., OpenSearch, Pinecone, FAISS).
• Prompt engineering and evaluation frameworks.
• AI model integration into enterprise applications.
• Understanding of AI security, guardrails, and compliance.
• Job Description of Role* (RNR) - To be Evaluated by Technical Panel (Define it to give more clarity)
• Design end-to-end cloud-native architectures on AWS aligned with business and technical requirements.
• Architect and implement Generative AI solutions using LLMs, RAG pipelines, and AI orchestration frameworks.
• Lead technical design discussions and produce high- and low-level architecture documentation.
• Define best practices for scalability, security, reliability, and cost optimization.
• Design multi-account AWS environments using Well-Architected principles.
• Integrate AI services into enterprise systems and microservices architectures.
• Provide technical leadership and mentorship to engineering teams.
• Establish governance, data security, and responsible AI practices.
• Evaluate emerging GenAI technologies and recommend appropriate solutions.
• Collaborate with stakeholders, product managers, and DevOps teams to deliver robust solutions.
• Soft skills/other skills - To be Evaluated by Hiring Manager (To define how this will be evaluated)
• Strong collaboration and communication skills to work effectively with diverse teams and stakeholders.
• Expected Outcome
• We are seeking an experienced Technical Architect with deep expertise in AWS cloud architecture and Generative AI (GenAI) solutions.
• The ideal candidate will design and lead the implementation of scalable, secure, and production-grade cloud architectures while integrating advanced GenAI capabilities such as LLM-powered applications, RAG systems, and AI-driven automation.
• This role requires strong architectural vision, hands-on AWS experience, and a solid understanding of modern AI ecosystems.

If you are currently open to new opportunities, I would appreciate the chance to connect and discuss this role in more detail. Please let me know a convenient time for a quick call, or feel free to share your updated resume.

Looking forward to hearing from you.

Thanks & Regards.

Sai

Sr. Account Manager

Astir IT Solutions, Inc.

ID: , Contact: 732-694-6000 * 795

Research Scientist, Post-Training | Robotics & AI | SF Bay Area / Boston

A frontier AI robotics company building general-purpose robots is hiring a Post-Training Research Scientist to turn large pretrained robot models into reliable real-world systems. The team includes alumni from OpenAI, Boston Dynamics, and Google DeepMind, working on embodied foundation models and robotic dexterity.

Role

Focus on post-training: fine-tuning and adapting large models for real robotic tasks, improving robustness and controllability, and building evaluation frameworks tied to real-world performance. Work on inference efficiency and close the loop between model outputs and robot behaviour using RL, imitation learning, distillation, synthetic data, and curriculum learning.

Looking for

Experience fine-tuning large models (RLHF, RL, IL, distillation, domain adaptation), ideally with exposure to embodied AI or real-world ML systems, plus strong evaluation and debugging skills.

On-site: SF Bay Area or Boston

Up to $350k + equity

Proper Hospitality is seeking an AI Workflow Fellow for a three month, execution focused program embedded with the CEO, President, and Chief of Staff. This role is responsible for building and deploying production ready AI workflows across our hotel portfolio, automating real operational processes tied to clear ROI, and integrating across systems including PMS, Snowflake, Microsoft 365, and guest experience platforms. This is hands on applied AI with live impact on property operations, not research or prototype work.

What This Is

We're not exploring AI at Proper Hotels. We're deploying it. Right now, AI runs our executive briefings, triages guest reviews across 11 properties, automates reporting pipelines, and handles operational workflows that used to eat hundreds of hours. We need someone who can build more of this, faster.

This is a single fellowship seat. You'll work directly with our CEO, President, Chief of Staff and executive team for three months and will be shipping production workflows from week one.

You are the execution engine inside Proper's broader Workflow & AI operating model.

What You'll Actually Do

Building (80%)

Build & Ship

• Design and deploy agent-based workflows that automate real operational tasks (not demos, not prototypes that sit on a shelf)
• Build within clearly defined ROI hypotheses approved by the Head of Workflow & AI (not speculative experiments)
• Wire together APIs across our stack: PMS, Snowflake, Notion, Microsoft 365, Google Workspace, Revinate, STR
• Build multi-agent systems that handle overnight operations, reporting rollups, task accountability, and guest experience triage
• Create tools that General Managers and department heads actually use daily

Identify & Automate

• Audit departmental workflows across the portfolio and find the manual processes burning the most hours
• Build the automation, test it on-property, iterate based on real feedback
• Transition tasks from \"someone does this by hand\" to \"this runs itself\" without losing the human touch that defines Proper

Strategy (20%)

Strategic Input

• Evaluate frontier capabilities weekly, but only deploy those that map to defined operational ROI
• Translate what's happening at the AI frontier into specific, actionable opportunities for luxury hospitality
• Help shape our internal AI skill-building program so the culture evolves with the technology

Who You Are

• You build agents and workflows, not just prompts. Show us something you've built that runs without you babysitting it
• You've shipped applied AI into production environments. Side projects count if they're real and running
• You can wire APIs together before lunch and present to the C-suite after it
• You navigate ambiguity without freezing. If a tool doesn't exist, you build it
• You understand that technology in a hotel should be invisible but felt. \"High Tech / High Touch\" isn't a slogan to you
• You're hands-on with LLMs (OpenAI, Anthropic, open-source), API orchestration, agent frameworks (eg. Openclaw), and data pipelines
• Bonus: experience with hospitality systems, revenue management, or guest experience platforms

Education

CS, Data Science, or MBA with a strong technical background preferred but not required. Non-traditional paths welcome if your portfolio speaks for itself

Program Details

• Duration: 3 months with potential to extend
• Experience: 0-2 years
• Compensation: $7,000 - $10,000/month depending on experience and location
• Access: Direct seat at the table with the CEO, President, and Chief of Staff
• Impact: Your work goes live on-property, affecting real guests and real revenue. This isn't a sandbox.

In your application please include two additional items:

• Something you've built that automates a real workflow (link, repo, or demo)
• A short note on what you'd build first if you had access to a luxury hotel portfolio's entire data stack

Why Join Proper Hospitality

At Proper, we build experiences that move people — and that begins with the team behind them. As a best-in-class employer, we're committed to creating one of the Best Places to Work in hospitality by nurturing a culture where creativity, excellence, and humanity thrive together.

Everything we do is grounded in the belief that hospitality is more than a profession - it's an opportunity to care for others and make lives better. Guided by the Pillars of Proper, we show up with warmth and authenticity (Care Proper), strive for excellence in everything we do (Achieve Proper), think creatively and resourcefully (Imagine Proper), and take pride in the style and culture that make us who we are (Present Proper).

We believe our people are our greatest strength, and we invest deeply in their wellbeing, growth, and sense of belonging. From comprehensive benefits to meaningful development programs, Proper is designed to help you build a career, and a life, that feels as inspiring as the experiences we create for our guests.

Our Commitment: Building the Best Place to Work

Our Best Place to Work initiative is a living commitment — a continuous investment in our people, our culture, and our purpose. We listen, learn, and evolve together to create an environment where everyone feels empowered to imagine boldly, achieve confidently, care deeply, and present themselves authentically.

At Proper, joining the team means more than finding a job — it means joining a community that believes in building beautiful experiences together, for our guests and for one another.