Gen AI Developer

As a Gen AI Developer, you will be a part of an Agile team to build 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., + 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.

• Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Mandatory skills: -

• Min 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.

Good 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.