Gen AI Engineer - REMOTE

YOCHANA, LLC

United States

26 days ago

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Role details

Contract type

Permanent contract

Employment type

Part-time (≤ 32 hours)

Experience level

Expert

Experience required

7 years minimum

Working hours

Regular working hours

Job source

arc.dev

Tech stack

Artificial Intelligence Application Performance Management Automation of Tests Microsoft Azure Code Review Continuous Integration Github Python (Programming Language) OAuth Software Safety Service Development Studio Software Deployment

+20 more

Software Engineering Systems Integration TypeScript Azure Service Bus Datadog ReactJS Fast Healthcare Interoperability Resources Large Language Models Multi-Agent Systems Prompt Engineering Software Security Backend Fastapi Event Driven Architecture Pytest Containerization Health Level Seven International Cosmos DB Docker Key Vault

Job description

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., * 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.

Requirements

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., * 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.