About the Role
This is a full-stack engineering role sitting across the product and AI teams at a seed-stage B2B AI customer support startup. You will own end-to-end features, shape AI-powered capabilities, and help scale the agentic architectures that drive automated ticket resolution for technical B2B teams. The role offers real ownership and impact at an early-stage company pushing the boundaries of current-generation AI systems.
What You'll Do
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Design and implement full-stack product features from concept through production.
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Build and enhance AI features, including autonomous agent workflows and data or model pipelines.
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Collaborate closely with the team to plan, design, and launch new capabilities.
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Help make internal work processes AI-native by integrating AI coding agents and related tooling into day-to-day engineering.
What We're Looking For
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1 to 4 years of backend or AI engineering experience; strong new-grad candidates are welcome.
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Demonstrated success shipping backend systems or AI features to production.
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Hands-on experience building agentic AI systems, with solid intuition for autonomous-agent frameworks and system design.
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Experience integrating OpenAI models and applying prompt engineering techniques.
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Familiarity with relational databases such as PostgreSQL and/or Firestore on GCP.
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Experience designing end-to-end architectures and building AI-powered data or model pipelines.
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Heavy user of AI coding agents (such as Codex, Claude Code, or Cursor), with concrete learnings or ideas for improving AI coding agent setups.
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Hobby projects involving LLMs or related AI topics, showing genuine curiosity beyond the day job.
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Startup drive and comfort operating in a hands-on, fast-moving environment.
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Already authorised to work in Germany; visa sponsorship is not available for this role.
Location
Fully on-site in Munich, Bavaria, Germany. This is not a remote or hybrid role.
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