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 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.

Key Responsibilities

- 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 secure, 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.

Required Qualifications

- 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.

Preferred Qualifications

- 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.

📌 Gen AI Developer (Canada)
🏢 HCLTech
📍 Canada