Tittle : Gen AI Engineer
Location: Remote - Canada
Overview
Senior-level role on a five-person engineering team building a production-grade healthcare conversational GenAI platform. The technology stack centers on Python 3.12+, FastAPI, and Google ADK 2.0 as the primary multiagent orchestration and structured-output toolkit, deployed on Azure.
The role focuses on 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 multiagent GenAI workflows using Google ADK 2.0 as the primary orchestration framework.
- Integrate and tune LLM providers and GenAI toolkits including OpenAI, Anthropic, and Google.
- Support and extend workflows built with LangGraph, LangChain, and PydanticAI and ensure interoperability.
- Implement RAG, prompt engineering, structured output validation, and AI guardrails to ensure safe and reliable model behavior.
- Build domain task handlers for healthcare workflows including care tasks, medications, and scheduling, and integrate with clinical systems as required.
- Leverage Azure services including Cosmos DB, App Configuration, Key Vault, Event Hubs, and 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 using pytest and support CI/CD and containerized deployments.
Required Qualifications
- 7+ years of professional software development experience.
- Strong production experience with Python and asynchronous frameworks, with FastAPI preferred.
- Hands-on experience with Google ADK 2.0 for multiagent orchestration and structured LLM outputs.
- Familiarity with LangGraph, LangChain, and PydanticAI and the 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 including Cosmos DB, Key Vault, and App Configuration.
- Familiarity with Docker, CI/CD such as 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 including HIPAA, HL7/FHIR, and Epic integrations.
- Experience with PydanticAI or equivalent structured output validation tools.
- Familiarity with OpenTelemetry and observability tooling.
- Exposure to React and TypeScript for occasional fullstack contributions.