Senior AI Engineer
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Job Description
Senior AI Engineer building secure internal AI tools for refurbed, Europe’s refurbished-products marketplace. Owning back-end services, AI integrations, governance, and adoption across the company.
Responsibilities:
- Lead the design and delivery of internal AI tools and systems supporting refurbed’s transformation into an AI-native company
- Own services, integrations, and deployment pathways from prototype to secure, reliable full-scale internal deployment
- Partner with the Head of Internal Technology & AI to assess feasibility, prioritize initiatives, and deliver solutions
- Collaborate with core platform Engineering teams
- Design, build, and operate back-end services, APIs, and integrations for internal AI tools and workflows
- Manage secure deployment paths enabling non-engineers to launch internal tools with guardrails
- Build and maintain shared AI capabilities, reusable skills, plugins, MCP connectors, and an internal tool registry
- Deliver company-wide AI services and a standard toolkit for new joiners
- Evaluate architecture, model selection, integrations, and build-versus-buy options
- Shape the technical direction and scope of the internal AI platform
- Define risk-based review frameworks and assess internally built AI applications
- Implement access controls, sandboxing, model-usage controls, and data-handling safeguards
- Move business-critical automations to reliable supported infrastructure
- Establish and improve technical standards, runtimes, and best practices
- Drive adoption through demonstrations, documentation, and hands-on integration support
- Partner with departmental AI champions to remove blockers and develop safe, maintainable solutions
- Document systems for operation, maintenance, and extension
- Monitor AI developments and translate relevant advances into business opportunities
Requirements:
- Experienced senior back-end engineer with a strong track record of building and operating production systems in Go, Python, or a similar language
- Ability to own services end to end, including architecture, deployment, secrets management, monitoring, and ongoing reliability
- Experience building AI- or LLM-powered applications for production use
- Understanding of model integration, evaluation, observability, and production incident response
- Hands-on experience with AI coding assistants such as Claude Code, Codex, or Cursor
- Understanding of reusable skills, plugins, MCP integrations, agent workflows, and agent orchestration
- Ability to evaluate tools and platforms and make build-versus-buy decisions
- Strong technical and product judgment
- Ability to work effectively with non-technical stakeholders and apply a product mindset to internal tools
- Security-conscious approach covering identity, access control, secrets, and data exposure
- Valid right to work in Europe
- Nice-to-have experience with Google Cloud Platform, Go, Python, product discovery, corporate IT, identity and access management, application security, or AI transformation (optional advantages, not requirements)
Benefits:
- Dedicated learning budget for courses, conferences, and other learning opportunities
- Private sessions with experts for personal growth and mental health through Likeminded
- Internal workshops for skill development and cross-department collaboration
- Fully remote work setting
- Option to work from the Vienna office
- Flexible self-organized working schedule
- Office weeks three times a year with team-building events and on-site workshops
- Dog-friendly office
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