Artificial Intelligence Engineer

People In AI

United States

Remote

USD 130,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Contract flexibility
Own end-to-end development of novel Gen AI applications
Work on real-world problems with user impact

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.

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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