AI Platform Developer

Montréal, QC
Hybrid
Posted Sep 19, 2026
1 position

Opens an external site

Employment type: Full-time
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Location requirements: Country, Canada

Job summary

You will design, build, and operate production-grade AI platform capabilities, including agent orchestration, observability, and governance frameworks. You will also partner with product teams to provide reusable services and tools that streamline the development and deployment of AI agents.

Job details

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 Intermediate 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 an Intermediate Software Developer, AI Platform, you will bring 5+ 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 What you bring Strong experience building production-grade backend, platform, AI infrastructure, or agent infrastructure services. Experience building distributed systems, APIs, cloud-native services, and developer-facing capabilities for internal engineering teams. Hands-on experience with modern AI/LLM infrastructure, such as agent orchestration, retrieval, tool calling, evaluation pipelines, Agent IAM, Agent Observability, model gateways, or responsible AI guardrails. Strong understanding of how to build AI systems that are secure, observable, testable, governed, reliable, and cost-aware in production. Ability to work through ambiguity, define technical direction, and turn AI Platform concepts into usable services for product engineering teams. Petal’s position on remote working In our opinion, a company cannot claim to be modern, innovative and have the well-being of their team at heart, without attempting to integrate remote working to the level that their business model allows them to. Petal employees continue to benefit from the option of teleworking up to the maximum flexibility permitted by the nature of the position and the smooth running of operations. Our benefits Recurring hybrid work allowance; Compensation that recognizes your contribution; 4 to 6 weeks of paid vacation per year; 5 paid personal days per year; A group RRSP / DPSP plan with employer contribution; A complete group insurance plan, from day 1; An annual wellness allowance; Access to the Lumino Health™ telehealth application; Flexible work hours and more. Petal is an active participant in the equal opportunity employment program, and members of the following target groups are encouraged to apply: women, people with disabilities, aboriginal peoples and visible minorities. If you are a person with a disability, assistance with the screening and selection process is available on request. A quick important note: We’ve noticed that some external websites are posting our job openings under incorrect job titles. To find our real opportunities and join our team, please make sure to apply through our official careers page or our trusted partners. We can’t wait to hear from you!

What you’ll do

Requirements

The role requires 5+ years of hands-on experience in building and operating SaaS products, distributed systems, and cloud-native services. Candidates must have strong expertise in AI/LLM infrastructure, agent orchestration, and modern backend development practices.