Senior AI Engineer

This is a fully remote position, open to applicants in Europe.

📋 Description

• Oversee the design and implementation of internal AI tools and systems that facilitate refurbed’s transition into an AI-driven organization.

• Take ownership of services, integrations, and deployment strategies from prototype stages to secure, dependable full-scale internal deployment.

• Collaborate with the Head of Internal Technology & AI to evaluate feasibility, prioritize projects, and deliver effective solutions.

• Work alongside core platform Engineering teams.

• Design, develop, and manage back-end services, APIs, and integrations for internal AI tools and workflows.

• Manage secure deployment pathways that empower non-engineers to launch internal tools with appropriate safeguards.

• Create and sustain shared AI capabilities, reusable skills, plugins, MCP connectors, and an internal tool registry.

• Provide company-wide AI services and a standardized toolkit for new employees.

• Assess architecture, model selection, integrations, and evaluate build-versus-buy options.

• Define the technical direction and scope of the internal AI platform.

• Establish risk-based review frameworks and evaluate internally developed AI applications.

• Implement access controls, sandboxing, model-usage regulations, and data-handling protections.

• Transition business-critical automations to a reliable, supported infrastructure.

• Develop and enhance technical standards, runtimes, and best practices.

• Promote adoption through demonstrations, documentation, and hands-on integration support.

• Collaborate with departmental AI advocates to eliminate obstacles and create safe, sustainable solutions.

• Document systems for operation, maintenance, and future enhancements.

• Keep abreast of AI advancements and convert relevant developments into business opportunities.

⛳️ Requirements

• Senior back-end engineer with extensive experience in developing and managing production systems using Go, Python, or a comparable language.

• Capability to own services comprehensively, encompassing architecture, deployment, secrets management, monitoring, and ongoing reliability.

• Experience in creating AI- or LLM-powered applications for production environments.

• Knowledge of model integration, evaluation, observability, and handling production incidents.

• Practical experience with AI coding assistants such as Claude Code, Codex, or Cursor.

• Familiarity with reusable skills, plugins, MCP integrations, agent workflows, and agent orchestration.

• Ability to assess tools and platforms and make informed build-versus-buy decisions.

• Strong technical insight and product judgment.

• Proficient in collaborating with non-technical stakeholders and adopting a product-oriented approach to internal tools.

• Security-aware mindset that addresses identity, access control, secrets, and data exposure.

• Valid right to work in Europe.

• Preferred experience with Google Cloud Platform, Go, Python, product discovery, corporate IT, identity and access management, application security, or AI transformation (considered additional advantages, not mandatory requirements).

🏝️ Benefits

• Allocated learning budget for courses, conferences, and other educational opportunities.

• Personalized sessions with experts for personal development and mental well-being through Likeminded.

• Internal workshops aimed at skill enhancement and interdepartmental collaboration.

• Fully remote work environment.

• Option to work from the Vienna office.

• Flexible self-organized working hours.

• Office weeks three times a year, featuring team-building activities and on-site workshops.

• Dog-friendly office.