AI Engineer

• 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.
• Ensure agents retrieve and use information according to user permissions and organizational access controls.
• Improve the reliability, latency, and cost of AI systems in production.
• Collaborate directly with the founders and broader engineering team on product direction and architecture.

• 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.
• Clear written and verbal communication in English.

What you’ll get

• Real ownership: competitive equity (everyone at GlassFlow is an owner).
• The chance to build something that changes how the world streams data.
• The opportunity to build for global tech brands from day one.
• A career trajectory that will 10x your skills and network., * Competitive salary with Stock Option Grant
• Ticket for public transportation in Berlin
• Company credit card with a monthly allowance
• Newest tech of your choosing
• Annual Learning budget for personal development
• Generous WFH policy and a budget for home office setup

GlassFlow is the data infrastructure for AI agents in production. It has two products: GlassFlow Tares, which feeds agents correlated data from every system they touch, and GlassFlow Rius, which traces and debugs what agents do once they’re running.

We’re a Berlin startup with a Silicon Valley mentality, backed with $5.9m from Upfront Ventures, the CEO of GitHub, the ex-CTO of Aiven, and more world-class investors.

The founders are serial entrepreneurs with more +10y of experience in building and selling data products.