Role: Senior AI Agent Engineer (Healthcare Prior Authorization)
Location: Remote (USA)
Duration: 6-Month Contract
Work Authorization: Permanent Residents Only
Required Skills:
Production deployment of LLM and AI agent systems at scale.
Experience designing multi-step workflows with robust failure handling.
Deep expertise in RAG, retrieval quality, and citation-backed reasoning.
Development of evaluation frameworks grounded in expert-labeled datasets.
Successful delivery of AI solutions in regulated healthcare environments.
Ability to partner effectively with clinicians, compliance teams, and engineering organizations.
A mindset that treats safety, auditability, and human review as system architecture requirements rather than policy statements.
AI & Agent Engineering
- 5+ years of software engineering experience with strong Python development expertise.
- Proven experience building and deploying production LLM applications and AI agent systems.
- Hands-on experience with:
- LangGraph or similar workflow orchestration frameworks
- Tool-calling architectures
- Multi-agent systems
- Structured outputs and typed interfaces
- State-machine and graph-based workflow design
- Human-in-the-loop workflows
- Strong understanding of AI safety, reliability, and operational guardrails.
Retrieval & Knowledge Systems
- Experience designing and deploying enterprise-scale RAG systems.
- Deep understanding of:
- Embeddings
- Vector databases
- Retrieval evaluation
- Context optimization
- Citation grounding
- Experience with PostgreSQL, pgvector, Chroma DB, Pinecone, Weaviate, or similar systems.
Healthcare Domain Expertise
- Demonstrated experience in healthcare, payer, insurance, clinical operations, or regulated healthcare technology environments.
- Strong knowledge of:
- Medicare Advantage
- Medicare Fee-for-Service (FFS)
- Prior Authorization workflows
- Medical Necessity Criteria
- CMS regulations
- CPT, ICD-10, and HCPCS coding systems
- NCD and LCD policies
- CARC and RARC codes
- PHI governance and compliance requirements
Engineering Excellence
- Advanced Python development skills.
- Experience building APIs using FastAPI.
- Strong understanding of:
- Async programming
- Testing frameworks
- CI/CD pipelines
- Software architecture
- Production observability and monitoring
- Experience designing highly available and maintainable systems.
Preferred Qualifications
- Experience building healthcare AI products on a scale.
- Background in utilization management, prior authorization, claims processing, or clinical decision support.
- Experience developing regulated AI systems requiring audit trails and compliance review.
- Familiarity with FHIR, HL7, and healthcare interoperability standards.
- Experience leveraging Claude, Claude Code, or similar AI-assisted development tools for engineering workflows, technical specifications, evaluations, documentation, and code reviews.
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