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We are seeking a Senior Python AI Engineer who has hands-on experience with agentic AI frameworks (LangChain, LangGraph, etc.) and knows how to run GenAI workloads on AWS. You will join the team building a GenAI agent that learns from past RFP/RFI responses and helps teams answer new requests faster.
Responsibilities
- Build Python services that power the GenAI agent using LangChain, LangGraph, or similar libraries
- Create retrieval-augmented generation (RAG) flows that pull the right context and streamline LLM responses
- Run the solution on AWS using containers, serverless functions, or managed AI services
- Instrument logging, monitoring, and guardrails to keep the agent reliable and safe
- Ensure the ingestion and use of RFP/RFI data follows healthcare data policies
- Collaborate with product, data science, and business teams to make sure the agent solves real problems
- Document code, APIs, and deployment steps so others can maintain and extend the solution
- Work within an Agile team and contribute to planning, demos, and retros
Requirements
- 3+ years of Python development experience, with a recent focus on LLM or GenAI projects
- Hands-on experience with LangChain, LangGraph, or comparable agent frameworks
- Understanding of agentic design patterns and how to wire tools, planners, and memory together
- Knowledge of vector databases, embeddings, and prompt engineering
- Proficiency in Docker, Git-based CI/CD, and automated testing
- Solid communication skills and the ability to work with technical and non-technical stakeholders
- English language proficiency at an Upper-Intermediate level (B2) or higher
Nice to have
- Familiarity with healthcare payer workflows, especially RFP/RFI processes
- Experience integrating with CRMs/workflow tools like Salesforce or ServiceNow
- Exposure to responsible AI, human-in-the-loop review, or safety tooling
- AWS or Python certifications