Senior MLOps Technical Lead

About the Role Senior-level role on a five-person engineering team building a production-grade healthcare conversational GenAI platform. The stack centers on Python 3.12+, FastAPI, and Google ADK 2.0, deployed on Azure, with a focus on backend services, GenAI workflow engineering, secure integrations, and operational ownership for patient-facing conversations. What You'll Do

• Design, implement, and maintain backend APIs and services using Python 3.12+ and FastAPI.
• Develop and operate multi-agent GenAI workflows using Google ADK 2.0 as the primary orchestration framework.
• Integrate and tune LLM providers and GenAI toolkits (OpenAI, Anthropic, Google).
• Support and extend workflows built with other orchestration frameworks (LangGraph, LangChain, PydanticAI) and ensure interoperability.
• Implement RAG, prompt engineering, structured output validation, and AI guardrails to ensure safe, reliable model behavior.
• Build domain task handlers for healthcare workflows (care tasks, medications, scheduling) and integrate with clinical systems as required.
• Leverage Azure services (Cosmos DB, App Configuration, Key Vault, Event Hubs, Application Insights) for data, configuration, secrets, and telemetry.
• Ensure API security and PHI protection using JWT/OAuth and security best practices.
• Contribute to architecture, code reviews, production support, observability, and incident response.
• Author and maintain automated tests (pytest) and support CI/CD and containerized deployments. What We're Looking For
• 7+ years professional software development experience.
• Strong production experience in Python and asynchronous frameworks (FastAPI preferred).
• Hands-on experience with Google ADK 2.0 for multi-agent orchestration and structured LLM outputs.
• Familiarity with other LLM orchestration frameworks (LangGraph, LangChain, PydanticAI) and ability to work across toolchains.
• Demonstrated knowledge of prompt engineering, RAG, structured output validation, and AI safety/guardrail patterns.
• Experience integrating OpenAI, Anthropic, Google, and Google ADK 2.0.
• Practical experience with Azure services (Cosmos DB, Key Vault, App Configuration).
• Familiarity with Docker, CI/CD (e.g., GitHub Actions), and containerized production deployments.
• Experience with event‑driven architectures and workflow engines.
• Strong understanding of JWT/OAuth and API security best practices.
• Proven ability to operate with high ownership in a small, fast‑paced team. Nice to Have
• Healthcare domain experience (HIPAA, HL7/FHIR, Epic integrations).
• Experience with PydanticAI or equivalent structured output validation tools.
• Familiarity with OpenTelemetry and observability tooling.
• Exposure to React and TypeScript for occasional full-stack contributions. Compensation & Benefits
• Salary range and benefits not disclosed in the posting.