Senior AI Engineer, Agentic Systems

Senior AI Engineer, Agentic Systems

Department: Engineering

Employment Type: Full Time

Location: London

Compensation: £105,000 - £120,000 / year

TL;

DR Kharon is seeking a full-time London-based Senior AI Engineer, 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 week

Build and deploy AI agents that can interpret, prioritize, and act on information related to geopolitical and financial signals. This includes:

• Develop and continuously improve the tools that connect agents to critical information sources, including web access, semantic and hybrid retrieval, structured-data querying, internal APIs, and knowledge graphs.
• Design, implement, and evaluate agentic workflows and multi-agent systems that effectively balance exploration and exploitation, accuracy and latency, and autonomy and control.
• Define evaluation frameworks and metrics for retrieval quality, agent performance, factual accuracy, and business relevance.
• Partner closely with Research, Product, and Engineering to rapidly prototype, test, and refine new capabilities through short feedback loops.
• Take solutions from prototype to production, including API development, CI/CD pipelines using Git Hub Actions, and Kubernetes deployments across multiple environments using core AWS services such as RDS, EKS, and S3.
• Own the full lifecycle of the systems and services you build—from architecture and implementation through deployment, adoption, monitoring, maintenance, and continuous improvement.

• Interest in or experience with global security, financial crime, sanctions, export controls, or related domains.
• 5+ years of professional experience in AI engineering, data science, software engineering, data engineering, or a closely related role.
• Strong proficiency in Python and SQL.
• Proven experience building and operating RAG pipelines and agentic systems in production.
• Hands‑on expertise in search and retrieval, including BM25, vector search, hybrid retrieval, reranking, and retrieval evaluation.
• Experience designing APIs and deploying containerized services using Docker and Kubernetes.
• Demonstrated track record of rapidly prototyping agentic workflows that solve real user or business problems, with the production experience to make pragmatic decisions about what to harden, scale, or discard.
• Strong product judgment and ownership, with the ability to translate ambiguous business requirements into prototypes, define a technical roadmap, and independently drive execution.
• Bonus:
  Experience with graph‑aware retrieval, graph databases, or integrating knowledge‑graph outputs into search and agentic systems.

You don't need to be strong in both tracks below — we're building a small team that covers the full range between them:*

Track A — Research & Investigation Depth

• This is you if you have a track record of building autonomous systems that drive deep dive investigations into a topic – orchestrating multi‑agent workflows, integrating diverse data sources, and building self‑correcting evaluation loops that aren't afraid to test hypotheses and fail gracefully.
• Hands‑on expertise in search and retrieval, including BM25, vector search, hybrid retrieval, reranking, and retrieval evaluation.

Track B — Platform & Systems Self‑Sufficiency

• This is you if you're comfortable owning infrastructure end-to-end — deploying a database, designing a schema, shipping an API — without a dedicated platform or Dev Ops team.
• Experience designing APIs and deploying containerized services using Docker and Kubernetes.

Bonus:
Experience with graph‑aware retrieval, graph databases, or integrating knowledge‑graph…