Senior AI Platform Engineer

Toronto, ON
On-site
Posted Oct 20, 2026
1 position

$90–$100 / hour

Opens LinkedIn

Employment type: Full-time
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Build and scale an agentic engineering platform, including AI workflows, developer tools, integrations with enterprise systems, and supporting infrastructure and pipelines. Improve agent reliability and developer productivity through context engineering, evaluations, guardrails, deterministic gates, and measurement of adoption, cycle time, and costs.

Job details

Senior AI Platform Engineer – Developer Productivity We’re partnering with a leading enterprise organisation that is investing heavily in AI-powered software engineering and developer productivity. They are looking for a Senior AI Platform Engineer to help build and scale an agentic engineering platform designed to improve how engineering teams work across the full software development lifecycle. This is a highly technical engineering role sitting at the intersection of AI engineering, platform engineering and developer productivity. You’ll build the tooling, workflows and infrastructure that enable AI agents to operate reliably across requirements, development, testing and release. What You’ll Be Doing Build and enhance agentic AI workflows and developer tooling, including templates, gates and engineering standards. Develop and integrate AI agents across different stages of the software development lifecycle (SDLC). Build integrations with enterprise engineering systems through MCP, including Jira, source control and CI/CD. Improve context engineering, ensuring agents receive accurate and traceable information throughout development workflows. Develop evaluations, guardrails, deterministic gates and acceptance criteria for agentic systems. Build and automate the infrastructure and pipelines supporting the AI platform. Develop internal developer tooling, including CLIs and workflow engines. Work directly with engineering teams to identify friction and improve developer productivity. Instrument the platform to measure adoption, engineering cycle time and agent costs. What We’re Looking For 8+ years of software engineering experience, including Senior or Lead-level experience. Production experience building AI agents, including orchestration, tool use, MCP servers and context engineering. Experience developing evaluations and guardrails for non-deterministic AI systems. Strong background in platform engineering, developer tooling, CI/CD or internal developer platforms. Strong development experience with Python and TypeScript. Experience building CLIs, workflow engines or similar developer-facing tooling. Experience with infrastructure automation using Terraform or similar technologies. Cloud engineering experience with GCP or another major cloud platform. Strong understanding of the end-to-end SDLC, from requirements and design through testing, release and operations. Experience building tooling or platforms that improve developer experience and engineering productivity. Nice to Have Experience with BDD/Cucumber, contract testing or mobile test automation. Knowledge of knowledge graphs, static analysis or code intelligence tooling. Experience working with AI coding and agentic development tools. Exposure to Kotlin, Go or Rust. Why This Opportunity? This is an opportunity to work on a sophisticated enterprise-scale agentic engineering platform, building the tools and infrastructure that allow AI agents to become a practical part of modern software engineering teams. Hourly rate - $100 inc This posting is for an existing vacancy with the organization. AI may be used to screen, assess or select applicants for the position.

What you’ll do

Requirements

Requires 8+ years of software engineering experience, including senior or lead-level work, with production experience building AI agents and strong platform engineering or developer tooling experience. Candidates should have strong Python and TypeScript skills, experience with CI/CD, infrastructure automation and cloud platforms, and a thorough understanding of the end-to-end software development lifecycle.