About BasetenBaseten powers mission-critical inference for the world's most agile AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. Join us and help build the platform engineers turn to to ship AI products.

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. Join us and help build the platform engineers turn to to ship AI products.

THE ROLEBaseten's engineers want to work in an AI-first way.

You will build that platform: the agent configurations tuned to our monorepo, the context and tooling layer that makes agents competent in our codebase, the evals that tell us which approaches actually work, and the rollout mechanics that get a new engineer productive with agents in week one. You are not here to mandate how engineers use AI - you're here to make the good path the easy path. Success looks like teams adopting what you build because it beats what they'd cobble together themselves, not because a policy requires it.

Platform engineer, not AI evangelist. Ship infrastructure, measure it, kill what doesn't work, let adoption be the referee. The playbook for AI-first SDLC doesn't exist at any company yet. Internal MCP servers giving agents scoped access to CI, observability, incident tooling, deployment state, and docs.

Sandboxed environments where agents can build and test safely. Project templates and onboarding that ship with AI tooling configured and working. Self-serve infrastructure so teams build their own agents without you as the bottleneck.

Gateway, auth, cost controls, and audit logging for internal model access.



Instrumentation of AI tool usage and its downstream effects on cycle time, review latency, and change failure rate. PR review triage, test gap-filling, incident context assembly, migrations and refactors, codebase Q&A.;

Own the internal AI developer platform end to end - architecture, build, rollout, operation, measurement. Evaluate and integrate third-party AI coding tools (Claude Code, Cursor, Codex, and whatever ships next quarter), and build the context layer that makes them work against our monorepo. Establish the evaluation practice for AI-assisted development at Baseten, and use it to drive investment decisions.

Embed with teams to find where AI genuinely unblocks them, then generalize those wins into platform capabilities. Have 4+ years of relevant industry experience building and enabling AI native SDLC Strong proficiency in Python and/or Go, building tools other engineers depend on daily. You've shipped something agentic that real people used, not just prototyped.

Deep personal fluency with AI coding tools and well-formed opinions about where they break down.

Platform mindset: you build for adoption and self-service, treat internal engineers as customers, and would rather ship a good default than write a style guide. Competitive compensation, including meaningful equity. 100% coverage of medical, dental, and vision insurance for employee and dependents Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) Paid parental leave Fertility and family-building stipend through Carrot Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

📌 Software Engineer - Ai Developer Productivity (Winnipeg)
🏢 Baseten
📍 Winnipeg