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. Tech Stack • Python (LangChain, LlamaIndex, Transformers) • LLMs: OpenAI, Claude, open-source (LLaMA, Mistral, Phi) • Vector DBs: Pinecone, Weaviate, FAISS • Frontend: [TECH TBD] with Microsoft Security integration • APIs: Microsoft Graph, MSAL, Azure AD • Tools: RAG, embeddings, hybrid search, evaluation harnesses 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.