Senior AI Engineer

Job not on LinkedIn

🕒 September 30

🇪🇺 Europe – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

Where this job comes from

Posted on refurbed's careers page ↗refurbed's careers page, not through a job board

First seen by Remote Rocketship September 30

Still open on refurbed's site. Checked 3 hours ago.

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Logo of refurbed

refurbed

201 - 500 employees

🛍️ eCommerce

🛒 Retail

☁️ SaaS

💰 Series C on 2023-11

eCommerce • Retail • SaaS

refurbed is an online marketplace that specializes in selling refurbished electronics, including smartphones, laptops, tablets, and various accessories. Committed to sustainability, refurbed ensures that all devices undergo a thorough refurbishment process to meet high quality standards, offering a minimum 12-month warranty on each product. The company promotes environmentally-friendly practices by encouraging the reuse of technology and minimizing electronic waste, making it a preferred choice for eco-conscious consumers.

📋 Description

• 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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