Internal AI Product Engineer

NewInactive
R
refurbedE-commerce, Refurbished Products
This role is open to candidates based in Europe (including UK) onlyFull-TimeSenior
This job is no longer active. We keep the page for reference, but the employer may not accept new applications.
Salary not disclosed
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Job Details

Required Skills
PythonGCPProduct ManagementGoLLM

Requirements

  • Proven track record as a senior/staff back-end engineer.
  • Hands-on experience building production systems in Go, Python, or similar.
  • Comfortable designing for scale, reliability, and cost on GCP.
  • Experience building AI/LLM-powered systems in production, from prototyping to deployment and iteration.
  • Strong product instincts, including ownership of product discovery, PRDs, roadmap, and success metrics.
  • Experience managing stakeholders across senior leadership and departments.
  • Ability to balance individual contributor engineering work with technical leadership and mentoring.
  • Deep practical fluency with modern AI tooling, including coding assistants, plugins, and agent frameworks.
  • Ability to make informed build vs. buy trade-offs.

Responsibilities

  • Design and build back-end services, APIs, and integrations with external tools, services, and models that power internal AI tools and systems.
  • Lead the architecture and design of internal AI tools and systems that support company-wide productivity and automation goals.
  • Define technical approaches, evaluate trade-offs, and create implementation roadmaps.
  • Implement and refine tooling standards, runtime, and best practices for AI development.
  • Run deep-dive discovery on prioritised use cases and surface bottom-up opportunities.
  • Own the product roadmap for internal AI tools, translating cross-functional problems into clear requirements, PRDs, and milestones.
  • Ship company-wide shared AI services and a baseline AI toolkit.
  • Drive cross-functional technology initiatives to embed AI into internal workflows.
  • Provide technical leadership and guidance to teams, including design reviews and mentoring.
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