Healthcare AI Agent Engineer (Agentic AI) - No C2C!!

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.