Senior AI Platform Developer building scalable AI services and LLM workflows for MaintainX’s industrial work execution platform. Improving reliability, observability, performance, and cost efficiency.
About the role
- AI Platform Developer building Azure-based agent infrastructure for Petal, a Canadian healthcare orchestration and billing company. Creating secure, observable, governed AI services for product teams.
Responsibilities
- 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 including 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 AI Platform needs while product-specific AI feature ownership remains 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 through reusable AI-specific building blocks
- Mentor developers and help shape technical direction across Petal’s AI Platform capabilities
Requirements
- 5+ years of hands-on experience building and operating SaaS products
- 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 building 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
- Authorization to work in Canada
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
- Group RRSP / DPSP plan with employer contribution
- Complete group insurance plan from day 1
- Annual wellness allowance
- Access to the Lumino Health™ telehealth application
- Flexible work hours
- Option of teleworking up to the maximum flexibility permitted by the nature of the position and the smooth running of operations
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Degree requirement
No Education Requirement
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