Founding AI Engineer (m/f/d)

We’re looking for an AI Engineer to build and iterate on the core agentic systems behind our claims automation engine. You’ll work on AI agents, retrieval pipelines, evaluation frameworks, and custom tooling to ensure reliability, auditability, and performance of our AI systems in production.

This is not just another ML role—you’ll be working at the intersection of research and real-world impact, shipping systems that solve messy, high-stakes tasks in production, inside a highly regulated domain.

If you love building agentic AI systems, hacking on retrieval pipelines, running evals at scale, and making AI safe and usable in the wild—this role is for you.

Activities

• Build Agentic Systems: Use frameworks like LangChain, LangGraph, or AutoGen to build robust AI agents that perform structured tasks with autonomy and reasoning
• RAG Pipelines: Design and deploy retrieval-augmented generation systems to ensure accurate, grounded outputs from LLMs
• Evaluate & Iterate Agents in Practice: Build evaluation loops using automatic metrics (BLEU, ROUGE, BERTScore), self-consistency, chain of doubt, LLM-as-judge, or custom classifiers
• Production Integration: Work closely with backend and infra teams to integrate AI models into real products
• Own AI Quality: Create tools and dashboards, CI hooks, or human-in-the-loop flows that ensure reliable auditable & explainable AI behavior at scale

Requirements

• 2–5 years' experience in AI/ML engineering**,** with a focus on LLMs, RAG, or NLP systems in a high-paced environment (e.g., start-up, scale-up)
• Solid Python skills and hands-on with modern AI tooling (e.g., RAG-optimization, vector data bases, evaluation tools etc.)
• Familiarity with prompt engineering, embeddings, and evaluating LLM outputs in production
• Proven track record shipping in fast iteration loops with unsolved challenges in highly dynamic environment
• Proactive, curious, and user-oriented—you want to build highly autonomous, scalable and auditable agentic systems with the best tools and frameworks in the market

Team

You’ll work side-by-side with our CPO — but that’s not all. You’ll also have direct mentorship from our Head of Engineering. With 15+ years of startup experience — including at BCG Digital Ventures, SoundCloud, and Issuu — he’s scaled products from early MVP to millions of users, built world-class teams, and seen what it takes to win. You’ll learn how to build right — and build fast.

Application Process

As part of the application process, you’ll meet all co-founders, dive deep into our product roadmap and vision with our CPO, and go through a technical interview with our Head of Engineering.