AI Engineer

Design and build memory systems for AI agents in production. You'll work on retrieval, ranking, context assembly, and long-term memory while ensuring agents retrieve and use information reliably and securely.

What you'll do

• Design and build memory systems for AI agents.
• Improve retrieval, ranking, context assembly, and long-term memory.
• Develop systems for entity resolution, temporal reasoning, provenance, and knowledge representation.
• Build agent capabilities that combine reasoning with reliable tool use.
• Design evaluations for retrieval quality, agent behavior, and end-to-end task performance.
• Investigate failures using traces, datasets, and production feedback.
• Experiment with approaches such as semantic search, graph-based retrieval, reranking, trajectory analysis, and selective replay.
• Improve the reliability, latency, and cost of AI systems in production.

What you'll need

• Strong software-engineering skills and experience building production systems.
• Practical experience working with LLMs, agents, retrieval systems, or applied machine learning.
• Proficiency in Python and familiarity with modern backend and data infrastructure.
• A solid understanding of embeddings, vector search, retrieval-augmented generation, evaluation, and prompting.
• An experimental mindset: you form hypotheses, build prototypes, measure results, and iterate quickly.
• The ability to navigate ambiguous problems and turn research ideas into reliable product capabilities.
• Strong product judgment and an interest in how people actually use AI systems.

What they offer

• Competitive salary with stock option grant.
• Ticket for public transportation in Berlin.
• Newest tech of your choosing.
• Annual learning budget for personal development.
• Generous WFH policy and budget for home office setup.