Research Engineer - #2157255

Software Research Engineer -Retrieval & Agent Intelligence - Edinburgh, UK (fully onsite)

About the Role

We are seeking a Software Research Engineer with a passion for cutting-edge AI research to join our Retrieval and Agent Intelligence (RAI) team in Edinburgh. In this role, you will act as the crucial bridge between abstract AI research and hardened, production-grade software architecture. You will collaborate closely with top-tier researchers to design, prototype, and scale next-generation knowledge retrieval and agentic AI systems.

Key Responsibilities

• Bridge abstract AI research and hardened software architecture by developing high-quality research prototypes and production-ready services.
• Build next-generation knowledge retrieval and agentic AI technologies (e.g., hybrid GraphRAG with late interactions, knowledgeable agents, dynamic context compression, highly efficient agent memory, and advanced goal/state management for long-horizon reasoning and planning).
• Take ownership of data preparation, algorithmic design, model integration, engineering, and product scaling.
• Contribute to internal engineering efforts, open-source software development, and deployment pipelines

Requirements

• Degree in Computer Science, Artificial Intelligence, Mathematics, or a related quantitative field.
• 3+ years of software engineering experience in a research-driven or advanced engineering environment.
• Experience with advanced retrieval mechanics, Information Retrieval, or NLP/LLMs.
• Proficiency in Python, Docker, Git, and TDD (Test-Driven Development).
• Strong algorithmic mindset (including non-deterministic systems), robust clean code principles, CI/CD, and good software architecture practices.
• Knowledge of Knowledge Graphs and Graph Databases.
• Expertise in LLMs and agentic technologies (e.g., hallucination handling, knowledge distillation, memory systems, reasoning, and planning).
• Familiarity with modern multi-modal ingestion frameworks.
• Broader experience across NLP or Machine Learning techniques.

Key words: Software Engineer / Research Engineer / AI / NLP / LLM / Information Retrieval / Retrieval / RAG / GraphRAG / Agentic AI / AI Agents / Knowledge Graph / Machine Learning / Python / Docker / Git / CI/CD / TDD / Multimodal / Reasoning / Planning / Memory / Edinburgh / Research

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