As the Founding RAG Engineer, you will build the "Brain" of a high-stakes regulatory intelligence platform. You will move beyond basic chatbots to engineer a deterministic retrieval engine that cross-references complex health product claims against global laws. This role is critical in transforming regulatory friction into launch velocity for global brands.
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Founding RAG Engineer at Kensai
Kensai is hiring a Founding RAG Engineer to build the 'logic core' for the operating system of global health commerce. This isn't another chatbot; you'll be engineering a high-stakes, deterministic retrieval engine that cross-references product claims against international law. If you're a RAG native who obsesses over grounding and accuracy, this is your chance to join a pre-seed startup at the ground floor with significant equity. You'll own the retrieval architecture and data pipelines that allow life-saving health products to reach global markets instantly. Skip the bureaucracy and build the infrastructure for science-backed brands.
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Location
Munich, Germany / Zürich, Switzerland / Remote
Compensation
€60k-€110k + Equity
Company
Kensai
Role overview
This role is for Kensai (Stealth) Our Mission: To turn regulatory friction into launch velocity.We build the infrastructure that allows health companies to meet global standards instantly, ensuring that the future of health is built on compliant, transparent, and science-backed claims. Our vision: To become the operating system for health commerce.A world where access to preventative healthcare is seamless and safe. Where the best health products scale globally based on merit and science.
What you will do
- Design and implement a hybrid (Sparse + Dense) retrieval architecture to capture specific legal terminology across diverse regulatory texts.
- Build robust data pipelines to ingest and structure messy, unstructured PDFs and HTML into a clean Knowledge Graph or Vector Store.
- Develop and manage rigorous evaluation pipelines (RAGAS) to mathematically prove system accuracy exceeds human legal experts.
Who this is a fit for
- Proven specialist in NLP and Information Retrieval who understands why standard vector database approaches fail for complex, high-stakes reasoning.
- Accuracy-obsessed builder with professional experience in Python, LangChain/LlamaIndex, and vector databases like Pinecone, Weaviate, or Qdrant.
- Systems-oriented engineer comfortable with 0→1 product ownership and ideally experienced in multi-lingual NLP (specifically German or Italian).
Why this role is remarkable
- Join as a ground-floor founding member with significant equity (1.0% – 2.0%) and direct influence over the core product architecture.
- Solve elite technical challenges in multi-lingual retrieval where semantic search fails, moving the needle for science-backed health brands globally.
- Work in a high-intensity, zero-bureaucracy environment alongside an expert team of ex-Palantir operators and medical physicians.
How Jack & Jill work together
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What happens next?
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Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Kensai wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.