AI Engineer
Own the end-to-end AI roadmap, select and integrate models, and design and deploy LLM-powered features such as autonomous agents, RAG pipelines, and intelligent document understanding. Translate compliance problems into scalable AI solutions, monitor AI and ML research, and make AI outputs accurate, explainable, reliable, and resistant to hallucinations.
Responsibilities
- Own the end-to-end AI roadmap
- Select and integrate commercial or open-source models into the product
- Design and deploy autonomous agents, RAG pipelines, and intelligent document-understanding features
- Translate compliance problems into scalable AI solutions
- Monitor AI and ML research, papers, and releases
- Ensure AI agents are accurate, explainable, reliable, and resistant to hallucinations
Requirements
- 2+ years of experience in ML, AI, or data/backend roles
- Deep understanding of modern LLM stacks
- Strong TypeScript and/or Python skills
- Hands-on experience with LangChain or equivalent orchestration layers
- Experience building production-grade RAG pipelines
- Understanding of embeddings, retrieval strategies, and re-ranking
- Experience setting up evaluation frameworks for model performance
- Experience deploying AI services in AWS or containerized environments
- Ability to communicate model architecture trade-offs and technical bottlenecks clearly
Benefits
- Opportunity to build the next generation of AI agents in a well-funded start-up
- Work directly with the founders at an early stage
- Supportive and challenging team environment
- Access to a network of leading investors, partners, and advisors in Europe and the U.S.
- Work with OpenAI, Anthropic, Google Gemini, and open-source models
- Use a modern stack including TypeScript, Python, LangChain, AWS, Kubernetes, and CI/CD