Senior AI Engineer

Refurbed GmbH; Wien; On-site; EUR 85,000 - 125,000; Full time

Benefits offered by this job

Workation

Job summary

Refurbed GmbH sucht eine/n erfahrene/n Senior Backend Engineer für interne AI-Tools. Sie/Er verantwortet Backend-Services, Integrationen und sichere Deployment-Pfade von Prototypen zu produktionsreifen internen Lösungen und arbeitet eng mit dem Head of Internal Technology & AI zusammen.

Sie bringen mehrjährige Erfahrung in Produktionsteams mit Go oder Python mit, besitzen Kenntnisse von AI-Codierungshilfen und Cloud-Plattformen sowie ein starkes Produkt- und Sicherheitsbewusstsein.

Qualifications

• Erfahrener Senior-Backend-Engineer mit Nachweis der Produktionserstellung und -betrieb in Go, Python oder ähnlichen Sprachen.
• Hands-on Erfahrung mit AI-Coding-Assistenten in der Produktion.
• Verständnis des gesamten Lebenszyklus inklusive Modelle, Observability und Ausfallsicherheit.
• Pragmatisches Abwägen von Build-vs-Buy-Entscheidungen und Auswahlpassung von Tools.
• Sicherheitsbewusster Ansatz – Identity, Access Control, Secrets und Datenexposure von Anfang an.

Responsibilities

• Verantworte End-to-End-Services, Architektur, Deployment, Secrets-Management und Betriebsüberwachung.
• Baue, betreibe und integriere Backend-Services, APIs und Integrationen für interne AI-Tools.
• Sorge für sichere Deployments und guardrails für Nicht-Techniker.
• Entwickle wiederverwendbare AI-Funktionen, Plugins und zentrale Registry für Tools, Ownership und Kosten.
• Arbeite eng mit Stakeholdern zusammen, um Anforderungen in praktikable technologische Lösungen zu übersetzen.

Skills

Senior Backend Engineer

Go

Python

AI tooling

Tools

Google Cloud Platform

Job description

Deine Rolle im Team

• Lead the design and delivery of internal AI tools and systems that support refurbed’s transformation into an AI-native company.
• As a Senior Backend Engineer for internal AI, you will own the services, integrations, and deployment pathways that take internal tools from prototype to secure, reliable full-scale internal deployment.
• You will partner closely with the Head of Internal Technology & AI, who owns the strategy and AI and IT portfolio, to assess technical feasibility, prioritise initiatives, and deliver solutions while collaborating with our core platform Engineering teams.
• Success will be measured by how effectively internal tools reach and perform, and by clear visibility into what is running, who owns it, what outcomes it drives, and what it costs.
• Design, build, and operate reliable back-end services, APIs, and integrations that power our 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.
• Deliver company-wide AI services and a standard toolkit that helps every new joiner use AI effectively from day one.
• Evaluate technical options and make pragmatic decisions about architecture, model selection, integrations, and whether to build or buy.
• Help shape the technical direction and scope of our internal AI platform.
• Help define a risk-based review framework for internally built AI applications and assess solutions against it.
• Implement practical safeguards, including access controls, sandboxing, and controls for model usage and data handling.
• Move business-critical automations from individual machines to reliable, supported infrastructure.
• Establish and continuously improve technical standards, runtimes, and best practices for internal AI development.
• Partner with the Head of Internal Technology & AI to turn governance requirements into practical technical controls.
• Drive adoption of the tools you build through demonstrations, documentation, and hands‑on integration support.
• Partner with departmental AI champions to remove technical blockers and help teams turn ideas into safe, maintainable solutions.
• Document systems clearly so others can operate, maintain, and extend them.
• Stay current with developments in AI models, tools, and engineering practices, and translate relevant advances into practical opportunities for the business.

Unser Angebot

• This role is open to candidates based in Europe (including UK) only with a valid right to work.

Technologien und Skills

• Go
• Python
• Google Cloud Platform

Unsere Erwartungen an dich:

Qualifikationen

• You are comfortable owning services end to end, from architecture and deployment to secrets management, monitoring, and ongoing reliability.
• You have built AI- oder LLM-powered applications for production use.
• You understand the full lifecycle, including model integration, evaluation, observability, and responding when systems fail in production.
• You are confident working with modern AI development tools and keep up with the rapidly evolving ecosystem.
• You can evaluate tools and platforms pragmatically and make sound build-versus-buy decisions.
• You exercise good technical and product judgment, including knowing when not to build.
• You can simplify or stop initiatives when needed and provide clear, constructive feedback on AI-assisted applications, what is ready to ship, what needs improvement, and what should not move forward.
• You work effectively with non-technical stakeholders and treat internal users as customers, bringing a strong product mindset to internal tools alongside technical expertise.
• You take a security-conscious approach by default, considering identity, access control, secrets, and data exposure from the outset.

Erfahrung

• You are an experienced senior backend engineer with a strong track record of building and operating production systems in Go, Python, or a similar language.
• You have hands‑on experience with AI coding assistants such as Claude Code, Codex, or Cursor, and understand concepts such as reusable skills, plugins, MCP integrations, agent workflows, and agent orchestration.

Benefits

• Workation