Ai Engineers Inc Remote Remote Jobs in Usa

Propy is revolutionizing the real estate industry by building the world's first AI-powered Title and Escrow platform onchain. We have processed over $5B in transactions, and we are on a mission to make closing on a home as easy as buying a stock.

We combine blockchain for security with advanced AI to automate the heavy lifting of closing documents. We aren't just "using" AI; we are building the infrastructure that allows AI agents to securely manage escrow, eliminate fraud, and run 24/7.

We are looking for a pragmatic Applied AI Engineer to join our engineering team.

The role is not about training models and does not involve academic Machine Learning research. It is about building the rails that make AI usable in a high-stakes financial environment. You will bridge the gap between our robust C#/.NET architecture and the probabilistic world of LLMs.

Title and Escrow is a document-heavy industry with zero room for error. Your mission is to use AI to clean up the messiness of real-world real estate data.

You will solve problems like:

• Structured Data Extraction: Converting messy, unstructured data (like emails, PDFs, documents)  from various sources into strictly validated JSON schemas with as close to 100% accuracy as possible.
• Escrow Automation: Designing workflows that reduce human intervention by 50% by intelligently routing tasks based on AI analysis.
• Fraud Detection: Implementing deterministic logic checks on bank and financial documents to detect fraud patterns before they happen.

• Engineer the Integration: Writing production-grade code that interacts with external AI APIs
• "Prompt Engineering" as Code: You won't just write prompts; you will version, test, and optimize them. You will define strict schemas to ensure the AI speaks the language of our internal tools.
• Orchestrate & Validate: Help in building the logic that parses AI responses, validates them against our database (MongoDB), and flags inconsistencies before they reach the user.
• Full-Stack Implementation: Work to visualize AI-aided services and data for user review and approval.
• Collaborate: Work closely with the other senior engineers and product owners to translate complex "Title & Escrow" schemas into technical constraints that an AI can understand.

• Developer DNA: You are a software engineer first. You have strong experience in Python (C# / .NET is an advantage) and understand programming in depth. 
• Applied AI Experience: You have integrated LLMs into applications via API. Have experience with not only models but also AI frameworks. Experience with workflows, AI agent building and orchestration. You understand context windows, token limits, temperature, and guardrails.
• Data Handling: Experience with handling complex data structures.
• The "Glue" Mindset: You enjoy writing the code that connects different services ( like the AWS, AI APIs, and Database) to make a seamless features.
• Collaborative Autonomy: You will own the AI domain, but you won't be on an island. You will be embedded in a senior engineering team that supports you with architecture, code reviews, and best practices.

• Experience with AWS infrastructure.
• Familiarity with the US Real Estate, Title, or Escrow process.

• Working in a transparent environment which focuses on solving problems and getting things done.
• The opportunity to work with very smart and driven people.
• The ability to grow your talents and career in a high-growth sector.
• A remuneration package that is based on the candidate's motivation, skills, and experience.

Please submit your resume to this job ad along with a portfolio of your AI-related experience, GitHub account and anything else you find applicable. 

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

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• 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

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• 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.
  

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

With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-

The AI Products & Analytics team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data solutions and products to solve client and consumer problems. We are a cross‑functional team of data scientists, product/program managers, data engineers and ML Engineers focused on generating value for the payment ecosystem. We are dreaming of the next generation of AI features and products, Agentic AI solutions and high‑quality analytics and data science support for our internal partner teams.

This position is in the AI Practices & COE sub‑team under the AI Products & Analytics team, focused on AI Transformation of the Global Data Office. The AI Transformation program aims to accelerate operational efficiency and foster innovation through targeted automation. By deploying scalable AI solutions to existing time‑consuming workflows with high potential for AI disruption, this will ensure measurable, sustainable benefits across the Global Data Office.

• 
  
• Design and implement agentic AI workflows to automate multi‑step tasks and drive business impact.
  
• Integrate predictive, generative, and prescriptive AI models into enterprise processes for decision support and efficiency gains.
  
• Apply ML, deep learning, and NLP techniques to diverse datasets, building scalable, secure data pipelines for AI training, inference, and monitoring.
  
• Collaborate with product managers, engineers, and domain experts to embed AI solutions into operations.
  
• Define, track, and report KPIs to measure productivity improvements, cost savings, and accuracy gains.
  
• Validate AI impact through experimentation frameworks such as A/B testing and performance benchmarking.
  
• Document workflows, models, and processes to ensure knowledge sharing and adherence to best practices.
  
• Stay current on emerging AI frameworks and LLM‑based automation, prototyping innovative solutions for rapid adoption.
  
• Communicate complex technical concepts clearly to technical and non‑technical stakeholders, fostering cross‑functional collaboration.
  

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Relocation assistance is not provided for this role.

• 
  
• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD).
  

• 
  
• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
  
• 2+ years of hands‑on work experience with process/workflow automation and experience deploying Agentic AI solutions.
  
• Advanced Degree with specialization in AI, Computer Science, Data Science, Engineering, Statistics or a highly quantitative field.
  
• Strong technical proficiency in machine learning and AI frameworks, including TensorFlow, PyTorch, scikit‑learn, and Hugging Face Transformers.
  
• Experience with agentic AI and orchestration tools such as LangChain, LlamaIndex, or similar frameworks for multi‑step task automation.
  
• Solid data engineering skills, including SQL, Spark, Databricks, Airflow, Kafka, and ETL/ELT pipeline development.
  
• Proficiency in Python (primary) and familiarity with Java, Scala, or R.
  
• Experience with cloud and MLOps practices, including CI/CD, model monitoring, retraining pipelines, and containerization (Docker, Kubernetes).
  

Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position.

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5‑10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 137,400.00 to 193,750.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job‑related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Immediate need for a talented Project Engineer I (Engineering). This is a 12+ Months contract opportunity with long-term potential and is located in Chattanooga, TN (Onsite). Please review the job description below and contact me ASAP if you are interested.

Job ID: 26-05465

Pay Range: $25 - $35/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

• Perform all aspects of project engineering including design, procurement, construction management, installation, and qualification.
• Plan, establish budgets, develop complex schedules and coordinate resources to ensure delivery of scope, schedule, budget, and cash flow for all projects.
• Drive results in Engineering metrics and own the following (KPIs): Budget Adherence %, Cash Flow Adherence %, Vertical Startup Adherence %, Critical Success Factor Adherence %, Projects Submitted, Projects Approved, CAPEX $ Spent vs Annual Budget.
• Site liaison and team participant for projects that are being executed by non site-based engineering resources.
• Champion Early Equipment Management (EEM) program including optimization, maintenance, retirement, and Startup Management (SUM).
• Develops cost estimates and conceptual designs for new products, line extensions, and packaging operations.
• Develop standards for equipment, systems, and engineering processes for assigned functional area and collaborate with other global technical teams.
• Works with Operations and Maintenance teams to troubleshoot, modify, and improve packaging and processing equipment.
• Collaborates with Department Managers to improve productivity through process changes, equipment replacement, or additional equipment.
• Champion Safety objectives; strive for zero incidents and supports a people-centered safety culture within the maintenance and engineering teams.
• Provide leadership and coaching to continuously improve the effectiveness of the technical function.
• Strict adherence to Company and OSHA safety requirements, Standard Operating Procedures (SOP’s), Good Manufacturing Practices (GMP) Compliance, and Food and Drug Administration (FDA) regulatory standards.
• Maintain compliance with all state and federal regulations.
• Support reduction in environmental impacts across all sites, including energy savings and utility monitoring.
• Establish and maintain constant communication across all levels of the organization.

Key Requirements and Technology Experience:

• Key skills; Project engineering including design, procurement, construction management, installation, and qualification.
• 2D/3D CAD experience (AutoCAD or Solidworks) and drawing development.
• 2+ years of project management, process design, manufacturing, and contractor supervision
• Bachelor's degree in engineering (Electrical, Mechanical, or Chemical)
• Project Management Professional Certification
• Professional Engineer Certification
• 2+ years of project management, process design, manufacturing, and contractor supervision.
• Must be well rounded with a solid grasp of many engineering disciplines as well as plant operations and construction.
• Proven track record developing and executing major, complex projects (over $1MM).
• Experience with technical writing via establishing Work Instructions, SOPs, and OPLs
• Mechanical aptitude & Critical Thinking Skills.
• Ability to read and understand engineering drawings and technical documentation
• Excellent written and oral communication skills; able to connect with all levels of the organization.
• Expert planning, organization, and time management skills.
• Required Competencies: Drive for Results, Action Orientation, Command Skills, Functional/Technical Skills, Priority Setting, Planning, Managing and Measuring Work, Process Management, Problem Solving, Decision Quality, Customer Focus, Integrity and Trust, Listening, Peer Relationships, Directing Others, and Comfort Around Higher Management
• Experience in Food or Pharma manufacturing following FDA regulations is preferred.
• Experience with site utilities, such as chillers, boilers, air compressors, etc. is preferred.
• Strong emphasis on sustainability and carbon reduction projects is preferred.
• Proficiency in reading, creating, and modifying P&IDs is preferred.

Our client is a leading Pharmaceuticals Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration

Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

By applying to our jobs, you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Immediate need for a talented Engineer I. This is a 09+months contract opportunity with long-term potential and is located in Skaneateles, NY (Onsite). Please review the job description below and contact me ASAP if you are interested.

Job ID:26-07515

Pay Range: $35 - $37/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

• Test Protocol Development: Design and develop detailed test protocols for medical device with embedded firmware.
• Test Execution: Execute test plans, including functional, integration, system, and performance testing, to validate software functionality and performance against specifications.
• Defect Identification and Reporting: Identify, document, and track software defects and inconsistencies.
• Collaborate with the development team to reproduce and troubleshoot issues effectively.
• Collaboration: Work closely with cross-functional teams, including software developers, product managers, and clinical stakeholders, to ensure comprehensive understanding and testing of software requirements.
• Documentation: Create and maintain detailed test documentation, including test plans, test cases, test reports, and defect logs.
• Ensure all documentation is clear, concise, and accessible

Key Requirements and Technology Experience:

• Key skills; Quality, ISO and medical device
• Bachelor’s degree in Computer Science, Software Engineering, or a related field. Certifications in software testing or quality assurance are a plus.
• Experience: Minimum of 3-5 years of experience in software testing, preferably in the medical device or healthcare industry.
• Familiarity with imaging systems or medical cameras is highly desirable.
• Technical Skills: Understanding of software testing methodologies, including black-box, white-box, and performance testing.

Our client is a leading Healthcare Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Our Ideal Candidate

We are looking for a Senior Data Engineer who is a self-starter and detail-oriented with a strong blend of technical expertise and business acumen. The ideal candidate has a strong foundation in data engineering, experience working with healthcare data, and the ability to build scalable data-driven solutions. You are a proactive problem-solver who takes ownership of your work, continuously seeks to improve data quality and accessibility, and is committed to delivering high-quality data solutions.

Responsibilities

• Lead data modeling efforts to create optimized data structures for reporting and analytical purposes.
• Design, develop, and maintain end-to-end data pipelines that transform raw source data into high-quality, actionable datasets.
• Build the company's data infrastructure and data catalog, from data ingestion through the semantic layer, ensuring a robust, scalable architecture on AWS.
• Collaborate with cross-functional teams (product, technology, operations, etc.) to understand data needs, align them with business goals, and translate them into technical solutions.

Qualifications

• Bachelor's or Master's (preferred) degree in Computer Science, Engineering, or a related quantitative field (Data Science).
• 5+ years of experience as a Data Engineer, Analytics Engineer, or similar role, with a strong focus on the development of end-to-end data solutions and products.
• 5+ years of hands-on experience with AWS cloud technologies is required, including designing, building, and maintaining cloud-based data infrastructure and infrastructure as a Code (IaC), such as CDK or Terraform.
• Proficiency in building and managing data infrastructure and ETL pipelines within AWS, leveraging services like AWS Glue, Athena, Redshift, Aurora, RDS, DynamoDB, EMR, Lambda, IAM, S3, EC2, CLI.
• Demonstrated experience in designing and implementing robust data models for analytical purposes.
• Strong proficiency in SQL and experience with various database systems (e.g., MySQL, NoSQL, Snowflake, Vector Databases).
• Strong proficiency in Python for data engineering and analytics, and extensive experience with data pipeline development and orchestration tools (e.g., Airflow, dbt).
• Experience with Power BI or Tableau for data reporting and dashboard development.
• Experience shipping data products to production and understanding software development lifecycle best practices.
• Strong problem-solving skills, the ability to work independently, and good communication and collaboration skills.
• Ability to learn new technologies and adapt to a fast-paced environment.
• Awareness of HIPAA, PHI, and other healthcare-specific regulations related to data and AI.

**This position supports hybrid work schedule depending on organization needs.**

How will you make an impact?

We are looking for a  Principal Thermal Rack Engineer within the Intelligent Infrastructure Segment to drive advanced cooling solutions for high-performance computing systems. This role involves incorporating thermal components such as direct liquid cooling (DLC) systems, coolant distribution units (CDUs), and manifolds into network and server racks (EIA 19” and ORv3). You will leverage CFD tools to perform rack and system-level thermal and fluid analysis, ensuring optimal flow distribution, pressure drop, and temperature performance. Additionally, you will create 3D CAD designs for seamless hardware integration, lead validation testing, and resolve thermal or flow issues through root cause analysis and corrective actions. Collaboration with cross-functional teams, customers, and global vendors is essential to align thermal architectures with overall system design and international standards.

What will you do?

• Lead the end-to-end integration and testing of rack thermal solutions, including liquid cooling systems in varying form factors and product lines.
• Use CFD tools (FloTherm or Macroflow) to perform switch, rack, and system-level thermal/fluid analysis (flow distribution, pressure drop, and temperature profiling).
• Design and optimize thermal components using 3D CAD (Creo or SolidWorks) to support seamless hardware integration and testing.
• Participate in customer engagements and site visits to understand and document deployment constraints and gather feedback for design improvements.
• Partner with factory teams to ensure racks are built with proper airflow, hose routing, and thermal safeguards, while establishing best practices that improve build consistency across deployments.
• Collaborate with Architects/Compliance/Reliability and global vendors to align thermal architectures with total system design and international data center/thermal/mechanical standards (e.g., UL, OCP, ASHRAE, ISTA, ASTM, NEBS).
• Conduct thermal, mechanical, and reliability testing, analyzing airflow, coolant flow rates, pressure drops, and structural integrity to ensure compliance with the end-users’ specifications.
• Develop and maintain design documentation including BOMs, wetted materials compliance, test plans, and engineering change orders (ECOs).
• Manage relationships with mechanical/thermal component vendors to build out a robust partner ecosystem consisting of racks, CDUs, hoses, manifolds, QDs, and cold plates.
• Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (e.g., in-row cooling, in-rack cooling, rear door heat exchangers).
• Conduct root cause analysis and corrective actions for mechanical and thermal failures or field issues.
• May perform other duties and responsibilities as assigned.

How will you get here?

Education:

• Bachelor’s Degree in Mechanical/Thermal Engineering, Systems Engineering, or related field is required

Experience:

• Minimum of 7+years of experience in thermal/mechanical systems integration
• 3+ years of specific experience in rack-scale thermal design and analysis
• Strong understanding of mechanical systems, integration strategies, and large-scale program management
• Familiarity with server design, heatsinks, cold plates, hoses, and blind-mate connectors
• Proficiency in CFD simulation (e.g. ANSYS, 6Sigma, etc.) and 3D modeling software (e.g. SolidWorks, Creo)
• Hands-on experience with thermal chambers, fans, and coolant
• Excellent English communication skills (verbal and written) with strong technical leadership capabilities

Knowledge, Skills, Abilities:

• Excellent interpersonal and communication skills
• Creative, self-motivated, accountable, and team-oriented
• Able to work independently with minimal oversight
• Capable of assessing projects, articulating risks, and developing project milestones
• Skilled in writing reports, business correspondence, and procedural guides
• Effective at presenting information and responding to management and customers
• Capable of influencing others and sharing best practices
• Familiar with stage-gate processes in project lifecycle management (PLCM)
• Ability to travel both domestically and internationally up to 30%

Preferred Qualifications:

• Master’s Degree in Mechanical Engineering, Systems Engineering or related field is preferred
• Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.
• Active Professional Engineer (PE) license preferred.
• Hands-on experience with prototype fabrication and testing; experience working with global suppliers and contract manufacturers a plus.

About Jabil’s Intelligent Infrastructure Group:

• Headquartered in Austin, TX, with a flagship facility located near The Domain and the Austin FC stadium
• Growing rapidly, with a team of more than 100 employees in Austin (500+ worldwide) and significant expansion planned through 2026
• Generated over $12 billion in FY25 revenue, driven largely by partnerships with major hyperscale customers
• Delivers cutting‑edge engineering, supply chain, and manufacturing solutions that power the world's AI infrastructure and global data center ecosystems

As part of the total rewards package, this position is eligible for:

• Annual bonus opportunity
• Medical, dental, and vision insurance plans
• Paid time off (PTO)
• 4 weeks of paid parental leave
• 11 company-paid holidays (9 fixed holidays and 2 optional floating holidays), subject to change yearly
• 401(k) retirement plan
• Employee stock purchase plan

JOB SUMMARY

The Industrial Engineer supports manufacturing sustainment operations and new product introductions (NPI) for advanced AI/ML and GPU-accelerated server rack platforms. This role is responsible for optimizing production systems to ensure safety, quality, delivery, cost, and scalability objectives are achieved. The position plays a critical role in production ramp readiness, time standard integrity, capacity modeling, layout optimization, and continuous improvement execution within a high-complexity, fast-paced manufacturing environment.

This position is part of the core team launching new manufacturing technologies at our production facility in Florence, KY. It is a fully on-site role, and relocation assistance may be available for candidates who reside more than 50 miles from the Florence area. The ideal candidate has experience supporting the assembly, testing, and integration of complex electronic hardware systems in a manufacturing environment. This is a junior individual contributor position requiring strong cross-functional collaboration in a high-constraint environment to deliver data-driven process improvements.

SHIFT / SCHEDULE :

The Industrial Engineer is required to work 12-hour shifts, on the following schedule:

• Shift 404 : (nights) 6:00PM to 6:00AM, Thursday through Saturday every week and Wednesday through Saturday every other week.
• For example : 36 hours on week 1 (Thursday - Saturday), 48 hours on week 2 (Wednesday - Saturday), 36 hours week 3, etc.
• Occasional overtime may be required, depending on business needs.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Partner cross-functionally with Manufacturing Engineering, Quality, Operations, Supply Chain, and Test Engineering to accelerate new product introductions (NPI) and ensure manufacturing readiness.
• Develop and validate time standards, labor models, and capacity plans to support production ramp and long-term scalability.
• Define workstation requirements, material flow strategies, tooling needs, and shop-floor system configuration (MES/iFactory).
• Support NPI builds, identify bottlenecks, and implement structured corrective actions to improve yield and throughput.
• Conduct time studies and work measurement analysis; maintain accurate and sustainable time standard databases.
• Monitor and improve key operational metrics, including UPH, WIP, lead time, FPY, rework rates, and labor efficiency.
• Lead layout improvements, line balancing efforts, and material handling optimization initiatives.
• Develop and maintain standard work, process documentation, and visual management systems.
• Perform root cause analysis and drive sustainable corrective actions using Lean methodologies (DMAIC, 5-Why, Kaizen).
• Ensure data alignment and configuration accuracy across ERP and manufacturing execution systems (SAP, MES, iFactory).
• Build analytical tools (Excel models, dashboards, and simulations) to support data-driven decision-making.
• Assist in scoping capital equipment needs, developing business justifications, and supporting vendor engagement through implementation.
• Support layout modeling and infrastructure planning for new production lines or facility expansions.

MINIMUM SKILLS, EXPERIENCE, AND QUALIFICATIONS

• Bachelor’s degree in Industrial, Mechanical, Electrical Engineering, or a related engineering discipline.
• 1-2 years of Industrial Engineering experience in a manufacturing environment.
• Experience performing time studies, capacity modeling, and production flow optimization.
• Strong analytical and problem-solving skills with proficiency in Microsoft Excel.
• Experience working in cross-functional production environments.
• Strong written and verbal communication skills with the ability to influence stakeholders.

PREFERRED

• Experience supporting the assembly, testing, and integration of complex electronic hardware infrastructure.
• Experience in high-volume or high-complexity NPI ramp environments.
• Familiarity with MES systems and ERP platforms (SAP preferred).
• Experience with manufacturing simulation tools or advanced data modeling.
• Lean Six Sigma certification (Green Belt preferred).
• AutoCAD or layout modeling experience.

PHYSICAL DEMANDS

The physical demands described here are representative of those required to successfully perform the essential functions of this job. The employee is frequently required to walk and may lift or carry PCs and test equipment weighing up to 50 lbs. Specific vision abilities required include close vision and extended use of computer monitor screens.

WORK ENVIRONMENT

The work environment characteristics described here are representative of those encountered while performing the essential functions of this job. The primary workstation is located on the manufacturing floor, with some time spent in an office setting. The noise level ranges from low to moderate. Required PPE in the manufacturing area includes: composite-toe shoes, hearing protection, protective eyewear, and an ESD vest. The manufacturing floor is modern, climate-controlled, and well-lit.

COMPANY BENEFITS

• Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options
• 401K match
• Employee Stock Purchase Plan
• Paid Time Off
• Tuition Reimbursement
• Life, AD&D, and Disability Insurance
• Commuter Benefits
• Employee Assistance Program
• Pet Insurance
• Adoption Assistance
• Annual Merit Increases
• Community Volunteer Opportunities

**This position supports hybrid work schedule depending on organization needs.**

JOB SUMMARY

The Principle Test Development Engineer provides leadership simultaneously across several technology platforms of specialization within the Engineering Group. They are recognized thought leaders that focus on projects requiring advanced levels of multidisciplinary technical expertise and problem solving. The Principal Engineer is responsible for large scale activities including the discovery and evaluation of new technologies, development of related processes and procedures, equipment development, and the creation of educational materials that establish the baseline knowledge for the technology. They are strategic thinkers combining business acumen with technical breadth, and provide mentoring to Test Development staff for a variety of disciplines and best practices.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Software development, deployment and maintenance responsibilities.

• Responsible for operational and development support for the manufacturing test software deployed at production facilities
• Maintain existing code and develop new features.
• Enable a development framework that facilitates the creation of behavioral and high-level software design specifications.
• Establish and maintain best practices for high quality software development and sustaining activities.

Contribute and improve software build methodology, procedures, and environment.

JOB QUALIFICATIONS

KNOWLEDGE REQUIREMENTS

• Java

  Spring Boot / Quarkus framework

  JPA / Hibernate

  JDBC

  React

  REST

  Graal (native compilation)

  Microservices

  Event Driven Architecture(Message Bus, , Kafka etc)

  Virtual Threads

  Testing (unit, integration, mocking)

  Docker

  Docker Swarm/Kubernetes

  Git

  Deployment Strategies

  Observability

• Security

• Analytics

• AI

  DB management and optimization

  Experience in web development

  Skilled in at least one other language.

EDUCATION & EXPERIENCE REQUIREMENTS

• BS degree in Electrical/Computer Engineering, Computer Science or related field. MS preferred.
• 10+ years experience in a software development/test capacity with enterprise server, storage or networking products.

As a Mechanical Design Engineer, you will be designing, building, and testing prototypes for many types of liquid cooling systems.

Mikros Technologies liquid cooling systems are deployed servers in large AI data centers and help to increase the energy efficiency of these sites. We also make active liquid cooling systems that are utilized in semiconductor test equipment for providing fast thermal control to maintain a constant temperature under a varying heat load.

• This is an onsite role in Claremont, NH.
• Relocation assistance available.
• Competitive salary with bonus opportunities.

What will you do?

• Ability to provide design and engineering drawing services as required to support our manufacturing processes and integration of our products into the end user’s equipment.
• Design and analysis of cooling systems such as cold plates, manifolds, and fluidic couplings.
• Analyze customer design proposals, specifications, manuals, and other data to evaluate the feasibility and cost of designs or applications.
• Research, design, validate, and analyze machined parts and other components of structural and mechanical systems and processes to meet requirements, applying knowledge of engineering principles.
• Compute and estimate loadings on structural members.
• Provide technical input to identify and mitigate project risks that may impact project plans and schedules
• CAD model development, and design data package development completing finite element analysis techniques for stress and structural dynamics using ProE CREO, SolidWorks or other CAD software
• Review CAD/Technical Data Packages to determine and validate mechanical design requirements for components and their functions within a system environment
• Evaluate/optimize manufacturing assembly processes by designing, modifying, and testing manufacturing methods and equipment, conferring with equipment vendors, and soliciting observations from the production team
• Adept at creating detailed mechanical design of components, sub-assemblies, and system integration
• Capable of creating a Bill of Materials (BOM) for release to manufacturing
• Conduct root cause investigation to troubleshoot complex mechanical design and material issues that arise through testing and engineering development
• Draft and contribute to test plans and specifications
• Perform tests, debug, and validation of mechanical systems and support manufacturing processes
• Manage relationships with mechanical component vendors and contract manufacturers
• Keep updated with the latest technologies and methods to ensure competitive and cost-effective designs
• Work with your manager to propose potential R&D project ideas to enhance competency areas
• Discuss with management and production staff to assess engineering feasibility and cost-effectiveness
• May perform other duties and responsibilities as assigned

How will you get here? 

Education: 

• Bachelor’s degree in Mechanical Engineering, Systems Engineering, or a related field. A Master’s degree in engineering or higher is preferred

Experience: 

• 5 years of design engineering experience or an equivalent combination of experience and education
• Thermal design and analysis
• Design for manufacturing and GD&T experience
• Mechanical (statics) and fluid analysis
• Computational fluid dynamics (CFD) experience
• Ability to design, build, and test prototypes. Test experience should
• 3D CAD experience (e.g. SolidWorks)
• Excellent problem-solving skills and attention to detail
• Strong communication and teamwork abilities
• Alternatively, a suitable combination of education, experience, and/or training may be considered

Knowledge, Skills, Abilities: 

• Excellent interpersonal and communication skills
• Creative, self-motivated, accountable, and team-oriented
• Able to work independently with minimal oversight
• Skilled in writing reports, business correspondence, and procedural guides
• Effective at presenting information and responding to management, clients, and public queries
• Capable of influencing others and sharing best practices
• Comfortable working as part of a global team
• Capable of assessing projects, articulating risks, and developing project milestones
• Able to mentor less experienced engineers
• Able to work from first principles in engineering analysis.

What can Jabil offer you?

Along with growth, stability, and the opportunity to be challenged, Jabil offers a competitive benefits package that includes:

• Medical, Dental, Prescription Drug, and Vision Insurance with HRA and HSA options
• 401K Match
• Employee Stock Purchase Plan
• Paid Time Off
• Tuition Reimbursement
• Life, AD&D, and Disability Insurance
• Commuter Benefits
• Employee Assistance Program
• Pet Insurance
• Adoption Assistance
• Annual Merit Increases
• Community Volunteer Opportunities

Apply Today!