Software Engineer, AI Platform Foundations

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:

• Contribute to building the shared AI tooling platform. Working alongside the team, you'll design and implement well-scoped components of the shared infrastructure that brings AI-assisted development to teams at Wealthsimple. You'll help consolidate 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 features and tooling that reduce friction in the development lifecycle from AI-assisted code review checks and automated PR helpers to intelligent deployment checks so developers can focus on what matters most.

• Implement guardrails that keep developers on the golden path. Build policy controls and verification layers that help keep AI interactions across the organization safe, compliant, and aligned with Wealthsimple's standards. You'll identify and raise potential risks early, and take ownership of the reliability of the components you build so issues are caught before they reach production.

• Ship across a polyglot engineering stack. Work with tooling and automation across Ruby on Rails , Python , TypeScript , and Java/Kotlin to meet developers where they are. You'll understand how the features you build impact the engineers who use them, and use metrics on your own work to help inform what to build next.

• Help shape how we approach AI-assisted engineering at Wealthsimple. Propose well-reasoned solutions backed by data and research, experiment with new tools and approaches, and contribute to the patterns and practices the team establishes around LLM integrations, cost awareness, and tooling.

• Grow your craft and support your teammates. Share what you learn through documentation and code reviews, give meaningful feedback to peers, help onboard new team members, and continue growing with guidance from senior and staff engineers on the team.

What you'll bring:

• 3+ years of software development experience as part of a team, ideally including some exposure to platform engineering, developer experience, or developer tooling, and a growing interest in AI-powered or LLM-driven systems.

• Some hands-on experience or strong interest in building with LLMs and AI tooling. Whether you've built LLM-powered developer tools, integrated AI APIs, or experimented with agents and automation, you're eager to understand the practical realities of working with models like Claude in production systems.

• A developing product mindset for internal platforms. You think of developer tooling as a product, with engineers as your customers. You're curious about their pain points and motivated to build solutions that stick.

• Working proficiency in at least one of Ruby, Python, TypeScript, or Java/Kotlin, and a willingness to work across others as needed. You're building growing proficiency in a team's technical stack and comfortable writing tooling and automation.

• An interest in building systems that enforce standards without getting in developers' way. Direct experience with governance, policy, or guardrail systems is a plus.

• Comfort making data-informed decisions. You use metrics to understand the impact of your work and to help prioritize what to do next.

• Solid collaboration skills. You build good working relationships with your immediate partners and communicate clearly about progress, blockers, and trade-offs.

• A collaborative spirit and a growing interest in mentorship. You're beginning to share your knowledge with peers, give constructive feedback, and are eager to keep learning from more experienced engineers.