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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Founding Engineer (Knowledge Graph / AI Systems) - **Company:** ContextFab GmbH - **Location:** München, Germany - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Extract Transform Load (ETL), Data Transformation, Distributed Systems, Graph Database, Python (Programming Language), Neo4j, Reliability Engineering, Search Technologies, Management of Software Versions, Rust (Programming Language), Performance Testing, Large Language Models, Multi-Agent Systems, Prompt Engineering, Build Management, Information Technology, Data Pipelines - **Published:** May 14, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=bf740666b0bbbe93 ## About the Role Do you have experience in Rust (programming language)?, Do you have a Master's degree?, * 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, * 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 ## Description 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 ## Related Videos - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [New AI-Centric SDLC: Rethinking Software Development with Knowledge Graphs](https://www.wearedevelopers.com/videos/1417-new-ai-centric-sdlc-rethinking-software-development-with-knowledge-graphs) - [Graphs and RAGs Everywhere... 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