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Title: Software Engineer

Duration: Long term

Location: Cary , IL

Job Description:

Summary/Objective:

A Software Engineer will develop, maintain, and support new or existing software products while applying the best practices of software development. Responsibilities include the ability to work independently and as part of a larger team to deliver quality solutions across all phases of the software lifecycle and across all layers of a software solution.

Job Accountability/Responsibilities

Quality:

• Meet or exceed test coverage goals set for the project through creation of unit and functional tests.

• Minimize the number of production escapes.

• Support user acceptance testing.

• Support or conduct system testing, performance testing, volume testing, and stress testing.

Usability/User Experience:

• Collaborate with business and/or UX teams to create appropriate application user interfaces.

• Assist with mock-ups and user interface design.

• Incorporate UX components into the application.

• Provide feedback to the UX team.

Product Reliability & Response:

• Ensure the system can meet or exceed defined SLA's.

• When primary on-call, respond to pages within 15 minutes and resolve or escalate issues as necessary.

• Resolve production issues and communicate resolution to appropriate stakeholders.

Development:

• Complete stories within estimates and with quality to ensure release dates are met.

• Conduct necessary analysis, design, and prepare technical documentation.

• Estimate story sizes and task out development for a given story.

• Follow the Railinc development process and suggest improvements.

• Work with infrastructure services to make configuration changes and deploy applications.

Leadership (Technical):

• Evangelize Railinc common practices and development procedures.

• Exhibit technical leadership in a given technical subject domain.

• Mentor peers and junior developers.

• Delegate and coordinate functional development tasks as needed.

• Drive innovation in the development, release, and operations processes.

Key Measures:

• Coverage, production escapes.

• Customer satisfaction score.

• System SLA, number of outages.

• Release scope, schedule, and budget.

• Releases.

Knowledge, Skills, Abilities / Minimum Requirements / Competencies

• Works under deadlines and is subject to a heavy project load.

• Ability to explain concepts to technical staff.

• Ability to work independently but also effectively with all co-workers; must be a team player.

• Ability to multitask and prioritize (professionally handle issues and assignments in various stages of resolution on an ongoing basis).

• Ability to communicate and follow up professionally (written and oral) both internally and externally within the organization.

• Demonstrated ability to identify and resolve issues effectively.

• Demonstrated high degree of accuracy and attention to detail.

• Strong Java fundamentals and good design skills.

Education, Experience, Certification/Training

• Bachelor’s degree n Computer Science or equivalent field desired.

• Minimum of 3 years of technical experience.

• Full lifecycle project experience; Agile preferred.

• Experience with Spring, Spring Boot, Hibernate (ORM), Oracle, and Postgres preferred.

• Experience working with Docker and Kubernetes environments preferred.

• UI experience – Angular 2 and above, JavaScript, jQuery, CSS preferred.

• Exposure to AWS technologies preferred (especially serverless technologies such as Lambda, S3, DynamoDB, etc.).

Role Title: MuleSoft Developer

Location: only local of Boston, MA

Duration: 12 Months Contract (highest possible ext)

Role Description:

Role Title Required Skills

• 3+ years of building integrations using Mule 4 and DataWeave 2.0

• Design and delivery of API-led connectivity

• Experience with Anypoint Studio, Exchange, API Manager, and Anypoint Monitoring

• API Specifications using RAML/OAS (OpenAPI)

• Production deployment experience on CloudHub 2.0 and MuleSoft Runtime Fabric (RTF)

• Experience with containerized Mule applications, runtime properties, scaling, and deployment promotion patterns

• Ability to translate requirements into technical designs, interface contracts, and implementation plans Preferred Skills

• Experience with AWS networking patterns and cloud security guardrails

• Experience integrating with AWS services

• Experience with Kubernetes tooling (Helm, kubectl, ingress controllers, service mesh concepts)

• Automated testing with MUnit

• API governance (naming/versioning standards, policy enforcement, etc.)

Responsibilities

• Design, build, and maintain MuleSoft integrations and APIs using Mule 4 and DataWeave, aligned to API-led connectivity

• Develop APIs and flows that meet non-functional requirements (e.g., performance, security)

• Deploy and support applications on CloudHub 2.0 and RTF, including configuration management, scaling, and troubleshooting

• Partner with cloud/platform teams to ensure deployments align with AWS and EKS standards (networking, security, monitoring, and operations)

• Implement CI/CD pipelines and release processes to promote builds across environments with traceability and quality gates

• Establish and enforce integration best practices: error handling, logging/correlation, retries, circuit breakers, and API policies

• Perform root-cause analysis of incidents; create runbooks, dashboards, and alerts to improve operational excellence

Expected Deliverable(s) Technical Design Documentation; Code

Applied AI Engineer

Compensation:

• Up to $150,000 base salary (direct hire w2 only, no c2c, no 1099), (flexibility on base salary for exceptional experience)

Location:

• Hybrid / Onsite - Greater Kansas City Metro Area
• 3 days per week onsite, 2 days remote
• Candidates must currently reside in the KC metro area or be willing to relocate within a reasonable timeframe
• Fully remote candidates cannot be considered

Work Authorization:

• Must be authorized to work in the U.S.
• No current or future visa sponsorship available

Engagement Type:

• Full time, direct hire only
• No third-party agencies, consulting firms, C2C, or 1099 arrangements

About the Opportunity

Vaco Highspring is conducting a confidential search on behalf of a global enterprise organization with a strong technology footprint, including a proprietary SaaS platform and a technology?enabled services business.

The organization is making a focused investment in artificial intelligence to improve internal efficiency, modernize workflows, and embed intelligent capabilities into its software platform. This role offers meaningful ownership and visibility, with a mandate to build and deploy AI systems that have real, production level impact.

The Role

As an Applied AI Engineer, you will play a key role in integrating AI across internal systems and a customer facing SaaS platform. You will work hands on with large language models (LLMs) and modern AI tooling to automate processes, build internal tools, and deliver intelligent product features.

This is a production focused role operating at the intersection of engineering, product, and business operations, with close collaboration across teams in a hybrid/onsite environment. (3-days per week onsite in Greater Kansas City Metro Area, 2-days remote work.)

Key Responsibilities

• Design and build scalable AI powered services and tools to streamline internal workflows across multiple teams (e.g., operations, content, sales, support).
• Develop and deliver intelligent features within a proprietary SaaS platform.
• Integrate, manage, and optimize multiple LLMs and AI APIs (e.g., OpenAI style, Anthropic style, or comparable providers).
• Provide technical leadership and mentorship to other engineers, including guidance on architecture, best practices, and performance.
• Build and maintain backend systems and APIs that support AI functionality across products and services.
• Design infrastructure for model serving, orchestration, monitoring, and lifecycle management.
• Implement fallback strategies, model routing, and cost performance optimization.
• Partner cross functionally with engineering, product, and business stakeholders to identify high impact AI opportunities.
• Apply best practices related to data privacy, security, compliance, and responsible AI use.
• Stay current with advancements in AI, LLMs, and MLOps, introducing new approaches where appropriate.

Qualifications

• 6+ years of engineering experience with multiple years of experience in a production environment deploying AI/ML applications or infrastructure.
• Proven experience applying LLMs or similar AI models to real business or product challenges.
• Strong backend engineering skills (Python and/or TypeScript preferred).
• Experience with AI/ML orchestration and deployment tools (e.g., LangGraph style frameworks, Airflow like systems, Kubeflow, Ray, or workflow automation tools).
• Hands on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Front end development experience in areas like React, Node.js, Web Development, front end web product design
• Solid understanding of MLOps practices, including deployment, monitoring, logging, and evaluation.
• Knowledge of data privacy, security, and ethical AI considerations.
• Experience supporting SaaS platforms or technology driven products is a plus.
• Strong communication skills and the ability to collaborate across technical and non-technical teams.
• Passion for applying AI in practical, high impact ways.

Why This Role

• High visibility and ownership of AI initiatives
• Opportunity to build AI systems that directly impact business outcomes
• Emphasis on production grade systems, not experimentation alone
• Collaborative, hybrid environment with close access to stakeholders

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

**Candidate must be willing to go into office 3 days a week**

Senior Full-Stack AI & Data Engineer – Contract

RBA is an established leader and trusted partner for enterprise and mid-size organizations seeking to transform their business through technology solutions. As a Digital and Technology consultancy, we combine strategic insight with technical expertise to deliver impactful, scalable solutions that align with business goals. We take pride in working with some of the most recognized companies in our market—while fostering a culture that blends challenging career opportunities with a collaborative, fun work environment.

We are seeking a Senior Full-Stack AI & Data Engineer to join our growing Data & AI practice, supporting a high-impact client. In this role, you will lead the design and development of end-to-end AI-powered applications that drive personalization, predictive analytics, and next-generation digital experiences.

You’ll partner with business stakeholders, product teams, and engineers to build production-grade AI solutions—from data pipelines and model development to APIs and user-facing applications. The ideal candidate brings deep expertise across the full stack, modern data platforms, and generative AI technologies, with a passion for solving complex business challenges through innovative solutions.

Responsibilities

• Design and develop end-to-end AI-powered applications, including backend APIs and user-facing interfaces, to enable scalable and intuitive AI solutions.
• Build and maintain robust APIs using technologies such as Node.js, NestJS, or FastAPI, and develop modern web applications using React or similar frameworks.
• Develop, fine-tune, and deploy machine learning models using frameworks such as PyTorch and Scikit-learn.
• Implement advanced generative AI solutions, including Retrieval-Augmented Generation (RAG) pipelines and multi-modal AI applications.
• Design and build agentic AI systems using frameworks such as LangChain, enabling multi-step reasoning, tool use, and automation.
• Architect and optimize end-to-end data pipelines (ETL/ELT) using Python, SQL, and orchestration tools such as Airflow.
• Manage and integrate data workflows within Snowflake, leveraging technologies such as Snowpark or Cortex.
• Implement monitoring and observability for AI systems, including tracking model performance, drift, latency, and reliability.
• Design and deploy cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines across AWS, Azure, or GCP.
• Collaborate with business stakeholders to translate data into actionable insights and intelligent applications.
• Contribute to DevOps best practices, including infrastructure-as-code (Terraform) and automated testing.
• Mentor junior engineers and promote best practices in AI ethics, data governance, and code quality.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience across full-stack development, including backend (Node.js/Python) and frontend frameworks (React or similar).
• Strong experience designing and building data pipelines and modern data platforms, including expertise in SQL and data modeling.
• Proven experience deploying AI/ML solutions in production environments, including MLOps and model lifecycle management.
• Hands-on experience with generative AI technologies, including LLMs, prompt engineering, and RAG architectures.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of DevOps practices, including CI/CD, containerization, and infrastructure-as-code (Terraform).
• Excellent communication skills and ability to work effectively in client-facing environments.

Preferred Qualifications

• Experience with Snowflake, including Snowpark, Cortex, or similar data platform capabilities.
• Experience building agent-based AI systems or working with frameworks such as LangChain.
• Familiarity with vector databases and semantic search architectures.
• Experience developing mobile applications using React Native or Flutter.
• Knowledge of mobile architecture, UI/UX principles, and API integration patterns.
• Experience deploying applications to Apple App Store or Google Play Store.
• Familiarity with security and authentication protocols, including OAuth2, biometric authentication, and secure data handling.
• Cloud or data platform certifications (AWS, Azure, GCP, Snowflake, or similar).

Leadership & Culture

• Demonstrate leadership through mentorship, technical guidance, and promoting engineering best practices.
• Balance innovation with pragmatism—able to work across cutting-edge AI solutions and foundational data engineering tasks.
• Thrive in a collaborative, fast-paced consulting environment with a strong focus on client impact and delivery excellence.

Vice President of AI Infrastructure & Engineering

Reporting to: CEO

Position Overview

*Build and Overscale Training Platform:* Design and maintain high-performance training architecture supporting GPU clusters at the scale of tens of thousands of cards.

*Key Focus:* Establish a unified task scheduling and model management system (MLOps). All model training, checkpoint storage, and code version control must be exclusively conducted through this platform.

*Engineering-Led Data Governance:*

Develop end-to-end data processing pipelines covering cleansing, annotation, versioning, and secure storage.

*Key Focus:* Implement rigorous data access audit logs and data lineage tracking to ensure security and compliance of core data assets.

*Developer Experience as Control Mechanism:*

Maximize experimental efficiency through standardized toolchains, enabling researchers to focus solely on algorithm development without managing underlying configurations.

*Key Focus:* Codify “best practices” into reusable code templates.

*System Reliability and Disaster Recovery:*

Implement fault tolerance, automated model snapshot archiving, and continuity protocols to prevent loss of critical assets due to single points of failure (hardware or human).

Qualifications

*Background:* 10+ years in distributed systems, cloud computing, or high-performance computing (HPC), with prior experience in core infrastructure teams at leading firms such as Google, Meta, AWS, or NVIDIA.

*Mindset:* Exceptional engineering rigor with a focus on building stable, scalable systems rather than solely pursuing algorithmic innovation. Service-oriented attitude with a commitment to empowering top-tier scientists.

*Technical Skills:* Proficiency in orchestration systems such as Kubernetes, Ray, or Slurm; familiarity with PyTorch distributed training frameworks; deep understanding of data security and access control mechanisms.

Title: Senior Software Engineer Backend

Location: Sunnyvale, CA - Hybrid

Duration: 3-months, team extends quarterly

Please note! There are interim nights worked, once a week.

Our client is seeking a talented and passionate Staff, Software Engineer - Backend to join their team. The ideal candidate will have experience working in a large project environment with solid technical leadership abilities and strong development background in Java along with experience Cloud Implementation architecture and a proven track record of delivering high-quality scalable software applications.

Required Skills & Experience

• 7-10 years experience
• 60–70% coding, 20–30% design/architecture
• Technologies: Java, SpringBoot, Kafka, CosmosDB, Bigquery, and Kubernetes
• Owns design, ensures scalability
• Confident in pushing designs to production
• Tests own code
• Participates in cross-team contract discussions

Job Description

• Provide deep technical expertise and thought leadership that helps accelerate adoption of the absolute best engineering practices, while maintaining knowledge on industry innovations, trends, and practices.
• Lead and participate in medium to large-scale projects by reviewing project requirements, translating requirements into technical solutions, gathering requested information, writing, and developing code, and conducting unit testing. Communicating status and issues to team members and stakeholders.
• Developing highly scalable services to process millions of requests per day and solve complex software systems problems by leveraging state-of-the-art technology.
• Gaining exposure to various technologies used in Marketplace and E-commerce platforms.
• Designing and developing backend microservices and APIs for web applications using JVM ecosystem (Kotlin, Java) and other languages and frameworks (Python, Go)
• Collaborate with project teams and cross functional teams. Troubleshoot open issues and bug-fixes, ensuring on-time delivery and hand-offs. Interact with project manager to provide e input on project plan.
• Troubleshoot business and production issues by gathering information (for example, issue, impact, criticality, root cause), engaging support teams to assist in the resolution of issues. Formulate action plans, performing actions as designated in the plan. Interpret the results to determine further action, perform root cause analysis to prevent future occurrence of issues and complete online documentation.
• Provide support to the business by responding to users' questions, concerns, and issues (for example, technical feasibility, implementation strategies). Facilitate resolutions and lead cross-functional partnerships.
• Driving projects of high visibility across the organization.

Compensation: $50-$60/hour, depending on experience

Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.

The Senior Java Developer is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.

Responsibilities:

• Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
• Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
• Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
• Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
• Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
• Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
• Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 10 -13 years of relevant experience in Apps Development or systems analysis role
• Extensive experience system analysis and in programming of software applications
• Experience in managing and implementing successful projects
• Subject Matter Expert (SME) in at least one area of Applications Development
• Ability to adjust priorities quickly as circumstances dictate
• Demonstrated leadership and project management skills
• Consistently demonstrates clear and concise written and verbal communication

Backend Development (Required):

• Strong hands-on core Java, functional programming, and Spring Boot microservices development experience.
• Understanding of concurrent and parallel programming, including threads, processes, synchronization, and handling race conditions.
• Knowledge of reactive programming for building asynchronous, event/message-driven systems in microservices based applications that are highly concurrent.
• Proficient in containerizing applications, continuous integration, and continuous delivery in Java ecosystem.
• Knowledge of distributed tracing and API Gateway integration for microservices architecture.
• Proficient in functional programming concepts with Streams API, Lambda Expressions and Optional.
• Understanding of secure coding practices, SSL/TLS, OAuth, and JWT token handling in Java-based applications.
• Expertise in integrating Java with NoSQL databases such as MongoDB for scalable, high availability applications.
• Strong experience in data modeling and experience with relational and no-SQL database, Oracle and MongoDB.
• Understanding of integrating APIs with third party libraries/vendors and handle the security around it.
• Understanding of the principles of distributed systems, including data partitioning, replication, and consistency models.
• Strong grasp of data structures and algorithms, especially those relevant to distributed systems like distributed hash tables and load balancing techniques.
• Understanding of microservices architecture, including service discovery, API gateways, and inter-service communication.

Other areas (Required):

• Exceptional Problem-Solving and Analytical Skills to diagnose and resolve issues in distributed environments.
• Above average skills in monitoring, logging, and debugging distributed systems to ensure reliability and performance.
• Expertise in fundamental concepts such as consistency, availability, partition tolerance, fault tolerance, and scalability.
• Familiarity with container orchestration (e.g., Kubernetes), and distributed messaging systems (e.g., Kafka).
• Experience using Git/BitBucket.
• Good communication skills, both written and verbal.

Other areas (Good to have):

• Unix shell scripting.
• Knowledge of ElasticSearch, and GraphQL.
• Experience with building apps which are highly performant and scalable will be great.
• Knowledge of Generating Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs).

Education:

• Bachelor's degree/University degree or equivalent experience
• Master's degree preferred

We are looking for an experienced QA Manager with 10+ years of experience in software quality assurance and a strong background in leading QA teams, test automation, and performance testing. The ideal candidate will be responsible for defining and implementing QA strategies, managing test processes, and ensuring high-quality software delivery across multiple projects. This role requires hands-on expertise with automation frameworks such as Selenium and Playwright, as well as experience with load testing and test management tools.

Key Responsibilities

• Lead and manage the QA team, including QA engineers, automation engineers, and test analysts.
• Define and implement QA strategy, testing standards, and best practices across projects.
• Design and oversee automated testing frameworks using tools such as Selenium, Playwright, or similar technologies.
• Ensure comprehensive test coverage across functional, regression, integration, and performance testing.
• Collaborate with product managers, developers, and DevOps teams to ensure quality throughout the SDLC.
• Implement continuous testing practices within CI/CD pipelines.
• Manage and monitor test planning, execution, defect tracking, and reporting.
• Oversee load testing and performance testing activities using industry-standard tools.
• Ensure proper usage of test management tools for test case management, traceability, and reporting.
• Identify quality risks and proactively implement mitigation strategies.
• Drive automation-first testing strategies to improve efficiency and reduce manual testing efforts.
• Conduct QA metrics analysis and reporting to leadership.
• Mentor and coach QA team members to improve technical and testing skills.

Required Skills

• 10+ years of experience in Software Quality Assurance, including 3–5 years in a leadership or QA management role.
• Strong hands-on experience with test automation tools such as Selenium and Playwright.
• Experience developing and maintaining automation frameworks.
• Experience with performance and load testing tools (e.g., JMeter, LoadRunner, Gatling, or similar).
• Experience using test management tools such as TestRail, Zephyr, qTest, or similar.
• Strong understanding of SDLC, STLC, and Agile/Scrum methodologies.
• Experience integrating automation into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, etc.).
• Experience with API testing tools such as Postman or RestAssured.
• Strong knowledge of defect management processes and tools such as Jira.
• Excellent leadership, communication, and stakeholder management skills.
• Experience with microservices architecture and API-driven systems.
• Familiarity with containerized environments (Docker, Kubernetes).
• Exposure to security testing and DevSecOps practices
• Banking and Financial domain experience is plus

Freelance Sales Director Global Technology Staffing & Remote Workforce

Location: Dallas, Texas, United States

Experience: 8+ Years

People Prime is a global talent solutions company specializing in helping organizations build high-performing technology teams through Remote hiring, Staff augmentation, and Offshore delivery models.

Headquartered in India, People Prime connects companies worldwide with highly skilled technology professionals across emerging and advanced digital domains. We enable organizations to scale faster by providing access to a curated network of experienced engineers, AI specialists, data professionals, and technology consultants who can work remotely or as part of distributed global teams.

People Prime focuses on enabling companies to hire high-quality remote technology talent from India, one of the world’s largest and fastest-growing technology talent markets. Through our strong recruitment ecosystem and technical screening process, we provide organizations with access to professionals across a wide range of digital and enterprise technologies.

1. Artificial Intelligence & Machine Learning: Machine Learning Engineers: Generative AI Engineers: Prompt Engineers: Natural Language Processing (NLP) Specialists: Computer Vision Engineers: AI Model Training & Fine-Tuning Experts
2. Data Engineering & Analytics: Data Engineers, Data Architects: Data Scientists: Big Data Specialists, Data Platform Engineers: Analytics & BI Professionals
3. Cloud & DevOps: Cloud Architects (AWS, Azure, GCP): DevOps Engineers: Platform Engineers, Kubernetes Specialists: Infrastructure Automation Experts
4. Software Engineering: Full Stack Developers: Backend Engineers: Frontend Engineers: Mobile Application Developers: Microservices & API Developers
5. Enterprise Platforms: SAP Consultants: Salesforce Experts: ServiceNow Professionals: ERP & Digital Transformation Specialists

Key Responsibilities:

• Identify and acquire new clients seeking technology staffing or remote engineering teams

• Generate opportunities for contract staffing, staff augmentation, and distributed engineering teams

• Develop relationships with technology companies, startups, and enterprise clients

• Present People Prime’s global talent and offshore delivery capabilities

• Build and manage a strong pipeline of staffing opportunities

• Collaborate with delivery and recruitment teams in India to fulfill client requirements

• Negotiate client contracts, rate cards, and service agreements

• Track hiring trends in AI, data engineering, cloud, and software development

Required Qualifications:

• 8+ years’ experience in IT staffing business development or recruitment sales

• Proven track record of generating staffing opportunities and closing new clients

• Strong network within technology companies, startups, or enterprise organizations

• Experience selling staff augmentation or contract staffing services

• Excellent communication, negotiation, and relationship management skills

Preferred Experience:

• Experience selling offshore technology talent or remote engineering teams

• Exposure to hiring in AI, data engineering, cloud, or software development domains

• Understanding of distributed workforce and remote hiring models

Success Metrics:

Success in this role will be measured by:

• New client acquisitions

• Remote staffing requirements generated

• Revenue from staffing engagements

• Successful onboarding of consultants

• Client retention and satisfaction

Performance expectation:

Minimum 5 Contract placements per month

Compensation:

USD 1500 Payable on Every AI/ Technology Contractor Successful onboarding ( Minimum 5 Onboards Expected Every Month )

6% of gross margin for the first 6 months of each engagement

Why Join People Prime:

• Sell high-demand global technology talent solutions

• Work with a scalable offshore delivery model with great cost advantage to clients

• High earning potential with strong commission structure

• Exposure to fast-growing sectors such as AI, cloud, and data engineering

• Opportunity to build long-term partnerships with global technology companies.

Senior Applied AI Scientist

Fully Remote - HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
• You will report directly to senior leadership and work closely on technical direction
• Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
• You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Applied AI Scientist will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
• Experience working in a scaling startup is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps exposure with CI/CD pipelines preferred
• History of working on models from concept to production / end-to-end / 0-1
• Applied research background in a commercial setting required
• Publication and/or patent history highly preferred
• Experience in settings wearing multiple hats
• Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
• History of partnering with non-technical stakeholders required
• Experience owning projects
• PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal