Closed listing
GenAI Engineer
- Canada
Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Contract
- Experience
- 7+ years professional software development experience.
- Posting language
- English
- Posted
Similar jobs hiring now
Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
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 multiagent 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
Required Qualifications
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 multiagent 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 multiagent 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 AIguardrails 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
- 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).
- Handson experience with Google ADK 2.0 for multiagent 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 eventdriven architectures and workflow engines.
- Strong understanding of JWT/OAuth and API security best practices.
- Proven ability to operate with high ownership in a small, fastpaced 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 fullstack contributions.
More about this job
Responsibilities
Design and maintain backend APIs and multiagent GenAI workflows for a production-grade healthcare conversational platform. The role involves integrating LLM providers and ensuring secure, reliable patient-facing experiences using Azure services.
Requirements
Requires over 7 years of professional software development experience with strong expertise in Python, FastAPI, and Google ADK 2.0. Candidates should have demonstrated knowledge of RAG, prompt engineering, and API security best practices.
Skills
- Python 3.12+
- FastAPI
- Google ADK 2.0
- Azure
- LLM Orchestration
- RAG
- Prompt Engineering
- Cosmos DB
- JWT/OAuth
- Pytest
- Docker
- CI/CD
- Multiagent Workflows
- AI Guardrails
- Structured Output Validation
- Event-driven Architecture
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Healthcare
- Engineering
- Data & Analytics
Keywords
- GenAI
- LLM
- Python
- FastAPI
- Google ADK 2.0
- Azure
- Cosmos DB
- Key Vault
- Event Hubs
- Application Insights
- OpenAI
- Anthropic
- LangGraph
- LangChain
- PydanticAI
- RAG
- Prompt Engineering
- AI Guardrails
- HIPAA
- HL7/FHIR
- Epic
- JWT
- OAuth
- Docker
- GitHub Actions
- Pytest
- Multiagent Orchestration
- Healthcare IT
- Backend Engineering
- Telemetry