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# AI Engineer

- **Company:** GlassFlow
- **Location:** Berlin, Germany (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Data Infrastructure, Python (Programming Language), Machine Learning, Search Technologies, Retrieval-Augmented Generation, Large Language Models, Backend, Knowledge Representation, Build Management
- **Published:** September 3, 2026
- **Apply:** https://www.adzuna.de/details/5864754277

## About the Role

* 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.

## Description

* 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.


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