Sr. AI Engineer, Retrieval & Agentic Systems

Kharon; Greater London; Ibrido; GBP 105.000 - 120.000; Tempo pieno

Descrizione del lavoro

Kharon is seeking a Senior AI Engineer, Retrieval & Agentic Systems, based in London. You will own and advance content discovery, redesign hybrid search capabilities, and build agentic experiences across large intelligence datasets. Collaborate with Product, DS, and Engineering while driving end-to-end solutions.

We value hands-on Python production work, curiosity, and a proactive approach to solving ambiguous problems, with experience in LLM-powered applications and RAG pipelines.

Competenze

• 3+ years of experience in Data Science, AI Engineering, ML Engineering, or related software engineering roles.
• Hands-on experience in information retrieval: lexical search, embeddings, vector search, hybrid retrieval, ranking, retraining/evaluation.
• Proven experience building LLM-powered applications, RAG pipelines, or agentic workflows.
• Strong Python skills and production-grade software engineering ability.

Mansioni

• Own and advance content discovery in Corestream, improving how customers find, explore, and engage with relevant risk intelligence.
• Redesigning and improving hybrid search capabilities using BM25 tuning, semantic distance, RAG, reranking, and graph-based signals.
• Explore and build discovery experiences including agentic search, intelligent content categorization, personalized feeds, and surface connections across large intelligence datasets.
• Drive the evolution of the narrative generation pipeline, transforming graph and analytical data into accurate written intelligence for customers.
• Own problems end-to-end from identification to prototyping, deployment, and production improvements.
• Collaborate with Product, Data Science, and Engineering to influence priorities and architectural decisions while maintaining strong hands-on contribution.
• Bonus: Experience with graph-aware search or integrating knowledge graph outputs into retrieval systems.

Conoscenze

Data Science

AI Engineering

ML Engineering

Python

Information retrieval

RAG pipelines

LLM apps

Agentic workflows

Strumenti

Graph databases

Descrizione del lavoro

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.

• 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