6 months ago
Munich, GermanySenior
Responsibilities
- Own major AI features and intelligent agents end to end, from specification through shipping and measurement.
- Implement LLM integrations, RAG pipelines, data models, and prompt management systems.
- Make pragmatic AI architecture decisions with high autonomy and iterate quickly using feedback from internal operations teams.
- Build automation for complex internal tax operations and intelligent experiences for customers.
- Influence AI, cloud, product, and LLM integration technology choices.
- Optionally hire and mentor junior engineers as the team grows.
Requirements
- 5+ years of software engineering experience with a strong recent focus on applied generative AI.
- Bachelor’s or master’s degree in computer science or a related field.
- Deep hands-on experience with LLM APIs such as OpenAI, Anthropic, and Gemini; agentic frameworks; and robust RAG pipelines.
- Strong programming skills in Python and willingness to work across the stack.
- Understanding of vector databases such as pgvector and Pinecone, plus familiarity with AWS or GCP and Docker.
- Very good written and verbal communication skills in English and German at a minimum C1 level.
- Valid work permit to work in Germany.
Benefits
- Opportunity to join and shape the company at a very early stage.
- Rapid career growth in an AI-first company.
- Environment focused on developing relevant AI skills.
- Above-market compensation and an equity package.
- Interview process includes a recruiter call, an engineer conversation, and a founding-team interview with live coding; the latter is approximately three hours and may be virtual or in person.
Tech Stack
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