Senior Python GenAI Backend Engineer

Senior Python GenAI Backend Engineer – Healthcare Conversational AI Location: Canada – Remote Type: Contract Overview We are seeking a Senior Python GenAI Backend Engineer to join 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 for multi-agent orchestration and structured LLM outputs, deployed on Microsoft Azure. This role focuses on backend service development, GenAI workflow engineering, secure healthcare integrations, and operational ownership of patient-facing conversational experiences. Key Responsibilities Design, develop, and maintain scalable backend APIs and services using Python 3.12+ and FastAPI.Build, deploy, and operate multi-agent GenAI workflows using Google ADK 2.0.Integrate and optimize LLM providers and GenAI platforms including OpenAI, Anthropic, and Google.Support and enhance workflows using LangGraph, LangChain, and PydanticAI, ensuring interoperability across toolchains.Implement RAG, prompt engineering, structured output validation, and AI guardrails to deliver safe and reliable AI behavior.Develop domain-specific task handlers for healthcare workflows such as care tasks, medication management, and scheduling.Integrate conversational services with clinical and healthcare systems as required.Leverage Azure services including Cosmos DB, App Configuration, Key Vault, Event Hubs, and Application Insights.Implement secure APIs using JWT/OAuth and industry-standard security practices.Ensure appropriate protection of PHI and sensitive healthcare data.Participate in architecture discussions, design reviews, code reviews, production support, and incident response.Develop and maintain automated tests using pytest.Support CI/CD pipelines, Docker, and containerized production deployments.Contribute to observability, performance optimization, reliability, and continuous improvement of the platform.Required Qualifications 7+ years of professional software development experience.Strong hands-on production experience with Python and asynchronous application development.Strong experience with FastAPI or comparable Python asynchronous frameworks.Hands-on experience with Google ADK 2.0 for multi-agent orchestration and structured LLM outputs.Experience with LLM orchestration frameworks such as LangGraph, LangChain, and PydanticAI.Strong knowledge of prompt engineering, RAG, structured outputs, validation, and AI safety/guardrail patterns.Experience integrating OpenAI, Anthropic, and Google LLM services.Practical experience with Azure, particularly Cosmos DB, Key Vault, and App Configuration.Experience with Docker, CI/CD, GitHub Actions, and containerized production environments.Understanding of event-driven architectures and workflow engines.Strong knowledge of JWT, OAuth, API security, and secure application development.Demonstrated ability to take ownership and deliver in a small, fast-paced engineering environment.Preferred Qualifications Healthcare technology experience, including HIPAA, HL7/FHIR, and Epic integrations.Experience with PydanticAI or comparable structured-output validation frameworks.Familiarity with OpenTelemetry and modern observability platforms.Experience working with healthcare conversational AI or patient-facing applications.Exposure to React and TypeScript for occasional full-stack contributions.Experience building production-grade GenAI applications with strong reliability, security, and governance requirements.