Senior AI Engineer

refurbed

. Lead the design and delivery of internal AI tools and systems supporting refurbed’s transformation into an AI-native company .

Posted 9/30/2026full-timeRemoteSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating production systems using Go and Python, with a strong focus on AI tool integration and deployment. Capable of collaborating with technical and non-technical stakeholders to deliver secure, reliable internal AI solutions.

Highest-signal resume keywords

Back-End EngineeringAI Tool DevelopmentGo ProgrammingPython ProgrammingSecurity Best Practices

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Hard Skills

Production SystemsModel IntegrationAI Application DevelopmentArchitecture DesignDeployment ManagementMonitoringIncident ResponseReusable SkillsPluginsMCP Integrations

Soft Skills

CollaborationProduct MindsetTechnical JudgmentStakeholder Communication

Tools & Technologies

Google Cloud PlatformAI Coding AssistantsClaude CodeCodexCursor

Industry Keywords

AI TransformationIdentity and Access ManagementApplication SecurityCorporate IT

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformPythonGo

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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