Summary
✨ AI‑Generated
A senior backend and generative AI engineering role on a small team building a production-grade conversational AI platform for a highly regulated domain. You will develop Python APIs and services, design and operate multi-agent workflows, integrate multiple LLM providers, implement RAG and prompt engineering, and apply structured-output validation and AI safety guardrails. The platform runs in a cloud environment and requires strong operational ownership.
Highlights
Senior role on a small engineering team building production-grade healthcare conversational AI, with ownership of backend services and GenAI workflows, work with multiple leading LLM providers, and a strong emphasis on safety, reliability, and secure integrations.
Description
Overview
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.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.
Preferred Qualifications
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.
