Senior Software Developer, AI Platform
Wealthsimple Remote (Canada)Est. Est. CAD 130,000–190,000 / yearSenior
Estimated range based on role, country and industry — not published by the company.
Key requirements
- Python
- Java
- Typescript
- Llm
Build something people love
Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.
We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work .
About the AI Platform Foundations Team
AI Platform Foundations is a team within Platform Engineering on a mission to make AI a reliable, governed, and productivity-multiplying force across Wealthsimple's engineering organization. We build and maintain the shared AI tooling that hundreds of developers depend on to ship faster and with more confidence. We also build the guardrails and policy controls that keep teams on the golden path, so innovation happens without introducing risk.
You'll help build what AI-assisted engineering looks like at Wealthsimple. You'll work in a polyglot environment of Ruby on Rails, Python, TypeScript, and Java/Kotlin, partnering with teams across Platform Engineering to build tooling that is adopted broadly, trusted deeply, and measured rigorously. Your work will directly influence how Wealthsimple's engineers write code, review changes, and ship to production.
In this role you'll have the opportunity to:
Build the shared AI tooling platform from the ground up. As a founding team member, you'll design and implement the shared infrastructure that brings AI-assisted development to every team at Wealthsimple. This includes consolidating one-off and custom LLM tools into a governed, reusable platform that engineering teams can adopt with confidence.
Accelerate developer productivity through AI-powered automation. Build tooling that meaningfully reduces friction in the development lifecycle. From AI-assisted code review and automated PR approvals to intelligent deployment checks, you'll create systems that let developers focus on what matters most.
Design and implement guardrails that keep developers on the golden path. Build policy controls, verification layers, and governance tooling that ensure AI interactions across the organization are safe, compliant, and aligned with Wealthsimple's standards. You'll own the systems that catch issues before they reach production.
Drive measurable adoption across a polyglot engineering organization. Work across teams using Ruby on Rails, Python, TypeScript, and Java/Kotlin to ensure the platform meets developers where they are. Track adoption, satisfaction, and impact rigorously, using data to guide what to build next.
Define the standards and practices for AI-assisted engineering at Wealthsimple. As an early builder on this team, you'll have real influence over how we approach LLM integrations, cost governance, and tooling strategy. You'll establish patterns others build on.
Champion engineering excellence and mentorship. Partner with teams across the organization, share your expertise through documentation and code reviews, and help grow the next generation of developers working in this space.
What you'll bring:
7+ years of experience in software development as part of a team, with meaningful experience in platform engineering, developer experience, or developer tooling, and a growing track record building AI-powered or LLM-driven systems.
Hands-on experience building with LLMs and AI tooling. You've explored and worked in the AI space, whether building LLM-powered developer tools, integrating AI APIs, or experimenting with agents and automation. You understand the practical realities of working with models like Claude in production systems.
A product mindset for internal platforms. You treat developer tooli
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