Senior AI Engineer, Agentic Systems
Summary
Senior AI Engineer builds and deploys AI agents that analyze geopolitical and financial signals using retrieval, agentic workflows, and Kubernetes on AWS, working hybrid in Madrid.
- 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.
By applying for this position, you acknowledge that Kharon will process your personal data for recruitment purposes in accordance with applicable data protection laws, including the EU General Data Protection Regulation and Spanish data protection legislation. For information about how we collect, use, store, and protect your personal data, please review our Candidate Privacy Notice at . You have the right to access, correct, or request deletion of your data, to object to or restrict its processing, and to lodge a complaint with the Spanish data protection authority, the AEPD, at. To exercise your rights, contact us at apply@kharon.com.
If your application is unsuccessful, your data will be retained for up to 12 months before being securely deleted. If you accept a role, your data will transfer to your employee record.
