Senior AI Platform Developer

Petal is a leading Canadian healthcare orchestration and billing company that revolutionizes healthcare systems to make them agile, efficient, and resilient by enabling the forecasting and shaping of world-class healthcare through Healthcare BI, advanced analytics, and informed insights.

Our commitment to fostering an exceptional workplace culture has earned us notable recognitions, including being listed as a Great Place to Work in both the technology and healthcare sectors. Join us in our mission to empower healthcare innovators and improve healthcare differently.

Let’s talk tech Join a high-performing engineering team undergoing an AI-driven transformation of the Software Development Life Cycle into an Agentic Development Life Cycle (ADLC). We are looking for senior developer who embrace AI-assisted engineering practices and can lead by example in modern software delivery.

You will help drive engineering excellence by leveraging AI tools to improve development velocity, code quality, automation, and operational efficiency across the SDLC. The role The AI Platform team builds the dedicated AI capabilities that enable Petal product teams to create, deploy, evaluate, govern, and operate AI agents safely and consistently.

As a Senior Software Developer, AI Platform, you will bring 10+ years of hands-on experience building and operating SaaS products. In this role, you will design, build, and operate production-grade AI Platform capabilities that are reused across product teams. You will help define the technical foundation for Petal’s AI agent ecosystem while ensuring the platform capabilities are secure, observable, evaluable, governed, and ready for production use.

What you’ll do Design, build, and operate AI-specific platform capabilities used by product teams to build and run AI agents. Build services for agent orchestration, runtime execution, tool integration, agent lifecycle management, evaluation, observability, and governance. Create AI Platform components such as agent catalogs, workflow builders, Agent IAM, agent operational stores, evaluation frameworks, prompt/configuration management, guardrails, retrieval services, and Agent Observability.

Build reusable APIs, SDKs, templates, reference implementations, and documentation for AI agent development and operation. Partner with application teams to understand their AI Platform needs while keeping ownership of product-specific AI features with those teams. Support secure and governed integration between agents, internal APIs, data sources, knowledge systems, and Azure AI services.

Define standards for agent deployment, monitoring, evaluation, access control, cost management, and responsible AI practices. Reduce duplicated AI-agent infrastructure across teams by creating reusable AI-specific building blocks. Mentor developers and help shape technical direction across Petal’s AI Platform capabilities.

Technology stack You will work with AI Platform technologies such as: Azure AI and cloud: Azure Native Services, Azure AI Foundry, Azure AI Search, Azure Cognitive Services Agent orchestration: LangGraph, agent runtimes, tool calling, workflow orchestration Languages and frameworks: Python, Node.js, TypeScript, Angular Evaluation: AI evaluation frameworks, automated agent testing, benchmark suites, quality scoring Agent security: Agent IAM, role-based access control, secrets management, audit trails Agent observability: Agent traces, tool-call logs, prompt/response monitoring, metrics, dashboards, alerting Knowledge and retrieval: Semantic search, vector search, retrieval pipelines, enterprise knowledge connectors Governance: Responsible AI guardrails, policy enforcement, compliance controls, cost monitoring