AI Platform Engineer: Build Self-Serve DevTools for AI

Baseten

Montreal (administrative region)

On-site

CAD 229,000 - 458,000

Full time

10 days ago

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Benefits offered by this job

Competitive compensation
Equity
Health insurance (employee + dependets
Flexible PTO
Parental leave
Fertility stipend
401(k)
Learning/networking opportunities

Job summary

Baseten is hiring platform engineers to build and scale an AI-first SDLC platform. You will design the agent configuration layer, context infrastructure, and eval harnesses that enable engineers to ship AI-powered features efficiently.

You will drive adoption with excellent docs, templates, and self-serve tooling, while ensuring safety through robust permissions and audit trails. This role emphasizes building reusable platform capabilities across Baseten’s engineering teams.

Qualifications

  • 4+ years of experience building and enabling AI native SDLC.
  • Proficiency in Python and/or Go, building tools engineers depend on.
  • Hands-on experience with LLMs and agent frameworks; shipped agentic tools.
  • Fluent with AI coding tools and strong opinions on their limits.
  • Platform mindset with emphasis on adoption and self-service.
  • Experience with CI/CD and Kubernetes/Docker fundamentals.
  • Excellent written communication and documentation skills.

Responsibilities

  • 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 build the context layer that makes them work with our monorepo.
  • Build frameworks that let other engineers create their own agents without deep LLM expertise.
  • Establish the evaluation practice for AI-assisted development and drive investment decisions.
  • Drive adoption through developer experience - good defaults, clear docs, low friction.
  • Embed with teams to identify where AI unblocks work and generalize wins into platform capabilities.
  • Own the safety layer: permissions, secrets handling, audit trails, cost management.

Skills

Python
Go
LLMs
Agent frameworks
Developer experience

Tools

Kubernetes
Docker
CI/CD tooling
Claude Code
Cursor
Codex

Job description

Baseten is hiring platform engineers to build and scale an AI-first SDLC platform. You will design the agent configuration layer, context infrastructure, and eval harnesses that enable engineers to ship AI-powered features efficiently.

You will drive adoption with excellent docs, templates, and self-serve tooling, while ensuring safety through robust permissions and audit trails. This role emphasizes building reusable platform capabilities across Baseten’s engineering teams.

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