Tooling AI Engineer.

AMD AMD · Semiconductors · Gdansk, Poland · Engineering

This role focuses on building and shipping agentic AI tools and automations within a Compute and Graphics team at AMD. The goal is to integrate AI into the core workflows of the team, improving their efficiency and productivity. The engineer will be responsible for the entire lifecycle from building to adoption and iteration, ensuring the tools deliver tangible benefits to users.

What you'd actually do

  1. You will sit inside a CG team, learn how they actually operate, and ship the tools and automations that change it.
  2. Build fast, watch people use it, fix what breaks, innovate.
  3. Working in a collaboration with the team, what you build gets shared, reused, and turned into patterns other engineers apply across CG.
  4. Success is simple to judge: someone does their job better because of what you shipped.

Skills

Required

  • 6+ years of technical experience
  • 1+ year building and shipping AI workflows
  • Fluency with AI development tooling: agent frameworks, API integrations, Claude Code, Cursor, and cloud platforms such as Azure or AWS
  • Strong in Python and SQL
  • At least one other common language
  • Able to explain technical ideas to non-technical people
  • Comfortable running several relationships and workstreams at once, across a range of AI skill levels

Nice to have

  • Time spent inside an engineering, product, or design team
  • Machine learning background: classification, clustering, forecasting, and similar
  • Internal tools or playbooks that kept running after you moved on
  • Consulting, solutions engineering, or other roles where you had to win trust fast and deliver early.

What the JD emphasized

  • 1+ year building and shipping AI workflows
  • A track record of AI tools, automations, or agentic systems that changed real work, not demos
  • Evidence that people you enabled actually changed how they work

Other signals

  • shipping AI tools and automations
  • agentic AI into the core of how its teams work
  • build fast, watch people use it, fix what breaks, innovate
  • ship the tools and automations that change it