AI Engineer
Role details
Job location
Tech stack
Job description
They're embedding AI into everything-code generation, test scripts, and operational automation-especially around provider credentialing and roster management. The biggest AI opportunities are:
(1) continuous license/credential validation across many external state sources
(2) adverse action interpretation + routing from JSON/report inputs
(3) roster ingestion automation from messy monthly spreadsheets using agentic AI with feedback loops. The ideal hire is a Python-first AI engineer who can build RAG/embedding pipelines, implement LLM evaluation + LLMOps governance, and stand up a lightweight Streamlit/front-end experience to operationalize the workflows.
Must-haves
- Strong Python background
- Proficient in AI/ML frameworks
- API design + development
- Hands-on with:
- prompt engineering
- RAG
- embeddings + sentence transformers
- vector databases
- LLM evaluation frameworks
- LLMOps governance + monitoring
Requirements
- Ability to quickly build a lightweight front end (even if basic) to operationalize the workflows
- Experience using Claude to spin up prototypes / applications
- Familiarity with agentic AI solutions (building + driving them end-to-end)
Benefits & conditions
Conversion Package: $135-160k base + bonus + Preferred stock options + 401k match