Senior AI Engineer, Agentic Systems
Summary
Build and deploy AI agents that analyze geopolitical and financial signals using retrieval, multi-agent workflows, and production-grade AWS infrastructure.
- 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 GitHub 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.
- 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.
- 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 DevOps team.*
- Experience designing APIs and deploying containerized services using Docker and Kubernetes.
- Fully-sponsored private health insurance
- Pension plan with 3% employer contribution
- Annual leave plus bank holidays
You must have the right to work in the UK. Kharon is unable to offer visa sponsorship for this role.
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