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 as the primary multi‑agent orchestration and structured‑output toolkit, deployed on Azure. The role emphasizes backend service development, GenAI workflow engineering, secure integrations, and operational ownership for patient‑facing conversational experiences.

Key Responsibilities
- 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.

Required Qualifications
- 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.
- Demonstr

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