Senior AI/ML Engineer

About the role

Develop and scale a production-grade healthcare conversational AI platform.

Tasks

• Design and develop backend APIs and services using Python 3.12+ and FastAPI.
• Build and enhance multi-agent AI workflows using LangGraph, LangChain, or PydanticAI.
• Integrate LLM providers such as OpenAI, Anthropic, and Google GenAI.
• Work with Azure services, including Cosmos DB, App Configuration, Key Vault, Event Hubs, and Application Insights.
• Develop task handlers for healthcare workflows involving care tasks, medications, and scheduling.
• Implement prompt engineering, input/output guardrails, and AI safety patterns.
• Collaborate on architecture, code reviews, and production support.
• Develop automated test suites using pytest.

Requirements

• 5+ years of professional software development experience
• Strong Python and FastAPI or comparable asynchronous framework experience
• Hands-on experience with LangGraph, LangChain, PydanticAI, or equivalent LLM orchestration frameworks
• Strong understanding of prompt engineering, RAG, and AI guardrails
• Azure Cosmos DB, Azure Key Vault, and App Configuration
• Docker, CI/CD pipelines, and containerized deployments
• JWT/OAuth authentication and Apigee API security best practices
• Strong ownership and ability to work in a fast-paced engineering team
• Healthcare domain experience, including HIPAA, HL7, and FHIR
• PydanticAI and structured LLM output validation
• OpenTelemetr

Schedule

• Hybrid – 2 days onsite per week

Location

• Dallas, TX