Sr. AI Engineer, Retrieval & Agentic Systems

Location: London, UK Annual Remuneration: £105,000 – £120,000 and discretionary annual bonus Pay Frequency: Monthly Probationary Period: 180 days Work Arrangement: Hybrid, 3-days per weekTL;DR Kharon is seeking a full-time Senior AI Engineer, Retrieval & Agentic Systems based in London.

• Own and advance content discovery in Corestream, improving how customers find, explore, and engage with relevant risk intelligence, while helping shape the technical direction of discovery capabilities across Kharon’s products.
• Redesigning and improving Kharon’s hybrid search capabilities, opening new avenues for content discovery — drawing on modern approaches including BM25 tuning, semantic distance, RAG, reranking, and graph-based signals that go beyond traditional semantic similarity.
• Explore and build new discovery experiences, including agentic search, intelligent content categorization, personalized feeds, and systems that surface relevant connections across large collections of intelligence.
• Driving the evolution of Kharon’s narrative generation pipeline — how we take graph and analytical data and transform it into compelling, accurate written intelligence for customers.
• Own problems end to end, from identifying opportunities and evaluating approaches to prototyping, implementing, deploying, and continuously improving production systems.
• Collaborate closely with Product, Data Science, and Engineering, influencing priorities and architectural decisions while maintaining a strong hands-on contribution.

• A proven interest or experience in global security, financial crimes, sanctions, export controls, or related domains
• 3+ years of experience in Data Science, AI Engineering, ML Engineering, or related software engineering roles
• Hands-on experience in information retrieval, including experience with some combination of lexical search, embeddings, vector search, hybrid retrieval, ranking, reranking, and retrieval evaluation
• Practical experience building LLM-powered applications, RAG pipelines, or agentic workflows.
• Strong Python skills and the software engineering ability to take an idea from prototype to a reliable, maintainable production implementation
• Demonstrated initiative and technical ownership — a track record of tackling ambiguous problems independently, challenging assumptions, and driving solutions forward while working with stakeholders
• Curiosity and a willingness to experiment with emerging approaches while maintaining a pragmatic focus on what actually works
• Bonus: Experience with graph-aware search or integrating knowledge graph outputs into retrieval systems

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