Senior Python AI Engineer

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