Applied Research Engineer (London)

Applied Research Engineer (BBBH73577) London, England Apply with Indeed Salary: GBP50000 - GBP80000 per annum London (Hybrid) We’re building a foundational intelligence platform that helps organisations turn fragmented information into durable institutional knowledge. Enabling better reasoning, faster decisions, and preserved context over time. Our initial focus is private capital, where information is complex and decisions are high stakes. In the longer term we’re building core intelligence infrastructure for any information‑led industry. This is not a chat interface on top of documents or workflow automation. We’re building the intelligence layer underneath. As an Applied Research Engineer, you’ll own the core knowledge and retrieval infrastructure that everything else builds on. You’ll work at the intersection of knowledge representation, information retrieval, and applied NLP, translating research ideas into production systems that reason over real‑world, proprietary data. This is a high‑ownership role in a small, deeply technical team. What You’ll Work On - Designing knowledge models and ontologies that preserve semantic meaning and relationships - Building hybrid retrieval systems (graph, structured, sparse, dense) with contextual understanding and re‑ranking - Managing knowledge quality and evolution (provenance, conflict resolution, schema changes) - Turning research into robust, production‑grade infrastructure What We’re Looking For We’re especially interested in candidates with experience in one or more of the following areas: - Graph databases and graph‑based systems (ideally Neo4j or similar) - Information retrieval systems, including search, ranking and semantic retrieval - Enterprise cloud environments, particularly Azure and operating production systems at scale In addition, you’ll likely have: - A strong background in IR, NLP, knowledge representation, or a related field - Experience shipping real systems, not just prototypes or research code - Careful thinking around how information should be structured to support reasoning - Comfort working from first principles in an early‑stage workplace - A high sense of ownership and responsibility for core systems This Role Is a Good Fit If You… - Care about the architecture of knowledge, not just model performance - Enjoy building systems that genuinely understand context, not just embeddings - Want to influence the technical direction of a core platform - Value intellectual honesty and pragmatic decision‑making - Prefer foundational infrastructure over surface‑level AI features Apply on Kit Job: kitjob.ca/job/2o40i5