Sr. AI Engineer, Retrieval & Agentic Systems
Hybrid London Full-time Senior AI Engineering
At a glance
Senior AI Engineering role at Kharon. London · full-time · £105,000–£120,000 base.
SalaryStated by Kharon
£105,000 – £120,000
Base salary for this role, in GBP per year, as published in the posting.
RoleAI Engineering
SenioritySenior
LocationLondon
WorkplaceHybrid
EmploymentFull-time
Base pay£105,000–£120,000
PostedOct 28, 2026 · 4d ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Improve Corestream’s hybrid search so customers can find and explore relevant risk intelligence more effectively
- Test discovery methods such as BM25 tuning, reranking and graph signals to expand how content is surfaced
- Build experiences including agentic search, tailored feeds and categorization that reveal useful links across intelligence
- Advance the narrative pipeline, turning graph and analytical data into accurate written intelligence for customers
- Take ideas from opportunity assessment through deployment, then refine production systems with product, data science and engineering
What you bring
- At least three years in data science, AI or ML engineering, or a related software engineering role
- Practical information retrieval work, including areas such as lexical search, vector search or ranking
- Experience developing LLM applications, RAG pipelines or agentic workflows, with strong Python skills
- You can turn prototypes into dependable production software and take ownership of open-ended technical problems
Who this fits
This role suits a senior, hands-on engineer who can work independently on ambiguous problems and shape technical decisions with product, data science and engineering partners. It is based in London, with three office days each week. Interest or experience in global security, financial crime, sanctions, export controls or a related area is relevant.
From the employer
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 week
TL;DR Kharon is seeking a full-time Senior AI Engineer, Retrieval & Agentic Systems based in London.
TL;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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