Artificial Intelligence Engineer

People In AI; United States; Remote; Full time

Job summary

A mid-size healthcare tech company is seeking a Senior Machine Learning Engineer to lead applied R&D in generative AI applications. You will design and build backend services, manage project phases, and influence the scalability of innovative solutions while working in a remote setting.

Benefits

Contract flexibility

Own end-to-end development of novel Gen AI applications

Work on real-world problems with user impact

Qualifications

• Strong experience deploying LLM-powered applications.
• Advanced Python skills with LangChain or HuggingFace.
• Experience with RAG pipelines and vector databases.

Responsibilities

• Conduct user interviews to validate needs and define personas.
• Build backend services to process documents and interface with APIs.
• Prototype knowledge access bots using embeddings.

Skills

Python

Generative AI

OpenAI

RAG techniques

Job description

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This range is provided by People In AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$80.00/hr - $120.00/hr

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Senior Machine Learning Engineer, Generative AI Applications

Compensation: $100/hour (Contract)

Location: Remote (US-based preferred)

A mid-size healthcare technology company driving AI innovation in health operations.

Join a mission-driven team reimagining how healthcare organizations leverage generative AI to navigate complex information ecosystems. From streamlining access to internal knowledge to parsing intricate documents, this team is building high-impact tools for real users at scale.

We’re looking for a hands-on engineer to lead applied R&D efforts in Generative AI and LLM-based applications. You'll play a key role in scoping, prototyping, and evaluating real-world use cases—including intelligent document understanding and internal knowledge retrieval tools.

What You’ll Do

• Conduct lightweight user interviews to validate needs and define user personas.
• Design and manage phased rollouts with integrated usage tracking.
• Build backend services to process documents and interface with OpenAI APIs.
• Prototype knowledge access bots using embeddings and RAG techniques.
• Develop secure front-end interfaces integrated with Microsoft 365 (MSAL/Azure AD).
• Experiment with hybrid search strategies and retrieval pipelines.
• Fine-tune prompts or models tailored to healthcare and contracting use cases.
• Build and run evaluation pipelines to track hallucination, recall, and accuracy.
• Optionally shape architectural direction for scaling successful prototypes.

What You’ll Bring

• Strong experience deploying LLM-powered applications (OpenAI, Claude, open-source).
• Advanced Python skills with LangChain, LlamaIndex, or HuggingFace.
• Experience with RAG pipelines and vector databases (e.g., Pinecone, FAISS).
• Familiarity with OCR tools and layout-aware document parsers.
• Experience integrating Microsoft 365 APIs and authentication flows (MSAL, Azure AD).
• Self-sufficiency in managing projects and adapting to feedback in agile environments.
• Frontend: [TECH TBD] with Microsoft Security integration

Why Join?

• Contract flexibility: ~20–30 hours/week over 3–4 months
• Own end-to-end development of novel Gen AI applications
• Work on real-world problems with clear user impact
• Influence the design and scalability of future production systems
• Opportunity for follow-on work based on outcomes

About People In AI

People In AI is a specialist recruitment firm connecting top-tier talent with high-impact roles in AI, ML, and data. We work with pioneering teams solving meaningful problems—discretely, and at speed.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Analyst

• Industries

  Technology, Information and Media

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