About this role
Developers who enjoy operating with high autonomy and shaping internal technology through hands-on backend engineering will thrive in this environment. The team builds internal AI tools and systems to support refurbed's ongoing transformation into an AI-native marketplace operating across Europe.
This person will own the services, integrations, and deployment pathways that take internal tools from initial prototypes to secure, reliable full-scale deployments. The role exists to bridge the gap between emerging AI capabilities and practical company-wide execution, partnering closely with leadership and platform engineering to ensure internal tools perform reliably and transparently.
What you will do
- Design, build, and operate reliable backend services, APIs, and integrations that power internal AI tools and workflows.
- Manage a secure, supported deployment path that enables non-engineers to launch internal tools with built-in guardrails.
- Build and maintain shared AI capabilities, including reusable skills, plugins, MCP connectors, and a central registry of internal tools, ownership, and costs.
- Evaluate technical options and make pragmatic decisions about architecture, model selection, integrations, and whether to build or buy.
- Help define a risk-based review framework for internally built AI applications and assess solutions against it.
- Drive adoption of the tools you build through demonstrations, documentation, and hands-on integration support.
What you need
- Demonstrated experience as a senior backend engineer with a strong track record of building and operating production systems in Go, Python, or a similar language.
- Comfort owning services end to end, spanning architecture, deployment, secrets management, monitoring, and ongoing reliability.
- Hands-on background building AI- or LLM-powered applications for production use, including model integration, evaluation, and observability.
- Familiarity with modern AI development tools and hands-on experience with AI coding assistants such as Claude Code, Codex, or Cursor.
- Understanding of agent workflows, agent orchestration, reusable skills, plugins, and MCP integrations.
- A security-conscious approach by default, considering identity, access control, secrets, and data exposure from the outset.
- Valid right to work and based in Europe, including the UK.
Nice to have
- Experience with Google Cloud Platform
- Strong Go experience or strong Python experience with an interest in working with Go
- Product discovery experience
- Experience with corporate IT, identity and access management, or application security
- Experience supporting an organisation through an AI transformation
Benefits
- Dedicated learning budget within your department
- Private sessions with experts for personal growth and mental health through Likeminded
- Internal workshops to further develop skills across departments
- Remote-first setting with the possibility to work from the Vienna office
- Office weeks happening three times a year for team-building events and on-site workshops
Skills and tech stack
Questions candidates ask
What is the remote work policy?
The company operates as a remote-first organization and provides full autonomy over your location within Europe, including the UK. Employees can also choose to work from the headquarters in Vienna.
What tech stack will I be working with?
You will build and operate production systems using languages like Go and Python, while working with modern AI development tools, coding assistants, and cloud infrastructure such as Google Cloud Platform.
Who will I work with on the team?
You will partner closely with the Head of Internal Technology & AI, who owns the strategy and AI and IT portfolio, while also collaborating with core platform engineering teams and departmental AI champions.
What professional development support is available?
You will have access to a dedicated learning budget within your department for courses and conferences, alongside internal workshops and mental health support sessions.