3 months ago
London, United KingdomSenior
Responsibilities
- Build and deploy AI agents that interpret, prioritize, and act on geopolitical and financial signals.
- Develop tools connecting agents to web access, semantic and hybrid retrieval, structured-data queries, internal APIs, and knowledge graphs.
- Design, implement, and evaluate agentic workflows and multi-agent systems.
- Define metrics and evaluation frameworks for retrieval quality, agent performance, factual accuracy, and business relevance.
- Collaborate with Research, Product, and Engineering to prototype, test, and refine capabilities.
- Take solutions from prototype to production through API development, GitHub Actions CI/CD pipelines, and Kubernetes deployments on AWS.
- Own systems across architecture, implementation, deployment, adoption, monitoring, maintenance, and continuous improvement.
Requirements
- 5+ years of professional experience in AI engineering, data science, software engineering, data engineering, or a closely related field.
- Strong proficiency in Python and SQL.
- Production experience building and operating RAG pipelines and agentic systems.
- Hands-on expertise in BM25, vector search, hybrid retrieval, reranking, and retrieval evaluation.
- Experience designing APIs and deploying containerized services with Docker and Kubernetes.
- Experience rapidly prototyping agentic workflows and making pragmatic decisions about hardening, scaling, or discarding systems.
- Strong product judgment, ownership, roadmap definition, and ability to execute independently.
- Interest in or experience with global security, financial crime, sanctions, export controls, or related domains.
- Experience with graph-aware retrieval, graph databases, or knowledge-graph integration is a bonus.
Benefits
- Fully sponsored private health insurance.
- Pension plan with a 3% employer contribution.
- Annual leave plus bank holidays.
- Annual remuneration of £105,000–£120,000 plus a discretionary annual bonus, paid monthly.
- Full-time London-based role with a hybrid arrangement of three days per week.
- The role has a 180-day probationary period.
Tech Stack
Categories
About Kharon
Kharon builds a risk intelligence platform and datasets that map connections to sanctioned and other high‑risk actors, supporting sanctions, anti‑money laundering, export controls, forced labor, and third‑party due diligence. Delivered via SaaS and APIs backed by a research-driven knowledge graph, it supports compliance and investigative workflows for global banks, corporations, universities, and government agencies. Privately held and founded in 2016, Kharon is headquartered in Denver, Colorado.