Founding Engineer

vor 1 Woche

Munich, Bayern, Deutschland contextfab Vollzeit 80.000 € - 120.000 € pro Jahr

About the Role

We're building context/fab, a venture-backed industrial AI startup on a mission to upgrade manufacturing by solving the hardest data problems on the shop floor.

As our Founding Engineer (Knowledge Graph / AI Systems), you'll architect and build the intelligence layer that powers our platform — from graph-based RAG to agentic workflows to robust LLM evaluation pipelines. You'll work directly with the founders to define how industrial knowledge is modelled, retrieved, reasoned over, and validated across real-world factory environments.

This is a deeply technical, high-ownership role for someone who wants to invent and ship the core AI systems behind a category-defining product.

What You'll Do

  • Design and build our industrial knowledge graph: schema, ontology, data modelling, ingestion, enrichment, and versioning
  • Architect and implement graph-based RAG pipelines, retrieval strategies, and hybrid search
  • Develop agentic workflows that orchestrate tools, models, and data sources across the manufacturing stack
  • Build and maintain rigorous LLM evaluation, benchmarking, and performance testing methodologies
  • Develop scalable Python systems for data transformation, embedding pipelines, prompt strategies, and model routing
  • Work with real factory data — noisy, unstructured, multimodal — and turn it into structured context for reasoning
  • Collaborate closely with fullstack/infrastructure/edge teams to integrate graph/RAG/agentic systems into production services
  • Work with edge-connectivity and ingestion teams to model data flowing from real-time factory systems into the graph
  • Prototype, experiment, and ship improvements to model quality, latency, reliability, and grounding
  • Act as a true partner to the founders — defining our AI direction, research priorities, and technical strategy

What Makes You a Great Fit

  • Strong experience in Python and building production-grade data/AI systems
  • Experience with knowledge graphs (Neo4j, FalkorDB, or similar)
  • Be product-minded and excited about deeply understanding customer problems without being spoon-fed requirements
  • Deep familiarity with retrieval systems, embeddings, semantic search, or vector stores
  • Experience with LLM evaluation, testing harnesses, model benchmarking, and reliability engineering
  • Hands-on experience with RAG pipelines, prompt engineering, and agent frameworks is a big plus
  • Comfort working with messy, heterogeneous real-world datasets
  • Understanding of distributed systems, data modelling, or ETL/ELT pipelines
  • Exposure to Go/Rust ecosystems is helpful
  • Pragmatic: you care about shipped impact, not research for its own sake
  • Entrepreneurial — you want to build foundational systems at the earliest stage of a company
  • Fluent in English; German is a plus

Qualifications

  • Bachelor's or Master's in Computer Science, Engineering, AI/ML, Data Science, or related field
  • Strong communication and collaboration skills
  • Comfortable working independently in a high-ambiguity, high-velocity environment

Why Join Us

  • Lead core engineering efforts and shape both product and architecture from day zero
  • Work directly with founders at the earliest stage of a startup
  • Build at the intersection of AI, manufacturing, and data — solving problems with huge real-world impact
  • Excited about building up deep tech capabilities to keep manufacturing competitive in Europe
  • Shape our engineering culture in our Munich office
  • Competitive salary and meaningful early equity
  • Grow faster than anywhere else — experience a 10-year career in 2 years

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