Senior AI Engineer, Agentic Systems

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 AI Engineer, 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…