Kharon

Global risk analytics platform for sanctions

Senior Data Scientist - Agentic Systems

Natural Language Processing & LLMsConfirmed live in the last 24 hours

Full-timeMadrid, Spain

About the Job

Requirements

At least 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 production retrieval-augmented generation (RAG) pipelines and agentic systems.
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.
A track record of rapidly prototyping agentic workflows that solve user or business problems, with production experience to make pragmatic decisions about what to harden, scale, or discard.
Strong product judgment and ownership, including translating ambiguous business requirements into prototypes, defining a technical roadmap, and independently driving execution.

Responsibilities

Build and deploy AI agents that interpret, prioritize, and act on information related to geopolitical and financial signals.
Develop and continuously improve tools connecting 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 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 with Research, Product, and Engineering to rapidly prototype, test, and refine 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 AWS services such as RDS, EKS, and S3.
Own the full lifecycle of systems and services, from architecture and implementation through deployment, adoption, monitoring, maintenance, and continuous improvement.

Desired Qualifications

Interest in or experience with global security, financial crime, sanctions, export controls, or related domains.
Experience with graph-aware retrieval, graph databases, or integrating knowledge-graph outputs into search and agentic systems.
Experience building autonomous investigation systems that orchestrate multi-agent workflows, integrate diverse data sources, and use self-correcting evaluation loops.
Ability to own infrastructure end-to-end, including deploying a database, designing a schema, and shipping an API without a dedicated platform or DevOps team.
Experience across both research/investigation and platform/systems tracks.

Location: Madrid, Spain

Annual Remuneration: €95,000 - €115,000 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 Madrid-based Senior Data Scientist, Agentic Systems.

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 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.

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 DevOps team.*
Experience designing APIs and deploying containerized services using Docker and Kubernetes.

Bonus: Experience with graph-aware retrieval, graph databases, or integrating knowledge-graph outputs into search and agentic systems — strength in both tracks above is also a plus.

About the Company

Kharon

Global risk analytics platform for sanctions

Kharon provides global risk analytics focused on sanctions, compliance risks, and geopolitical security for financial institutions, multinationals, and government agencies. Its core offering is The Kharon Core, a proprietary analytics platform that aggregates data, research, and signals to assess illicit finance, export controls, supply chain risk, and investment risk, delivered through weekly insights, customized reports, and on-demand webinars. Kharon differentiates itself by combining a centralized data platform with specialized research methods to surface actionable signals across sanctions and risk areas, beyond traditional compliance tools. Its goal is to help organizations navigate complex security and regulatory challenges, reimagine risk management, and build sustainable, higher-performing supply chains aligned with responsible investment.

Company size: 51-200
Company stage: Early VC
Total funding: Not listed
Headquarters: Denver, CO
Founded: 2016

Recently Posted Jobs

Explore more opportunities at Kharon

See more jobs