Kharon
AI Engineer, Retrieval & Agentic Systems
Employment
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Data & MLCountry assessment
Not doable from Austria because the employer's own board marks it as not remote.
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Skills mentioned in this posting
Job description
Location: Madrid, Spain Annual Remuneration : €85,000 - €95,000 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 AI Engineer, Retrieval & Agentic Systems based in Madrid. Owning and evolving Corestream, Kharon's risk intelligence feed — a dynamic platform that surfaces entity-level insights and topic-based risk narratives to customers Redesigning and improving Kharon's semantic search capabilities, opening new avenues for content discovery — drawing on modern approaches including BM25 tuning, semantic distance, RAG, and reranking Integrating Kharon's risk analysis outputs into the search layer, ensuring that graph-based insights surface meaningfully within search results and sub-network exploration Driving the evolution of Kharon's narrative generation pipeline — how we take graph and analytical data and transform it into compelling, accurate written intelligence for customers Partnering with Product and Engineering to take ownership of the Corestream roadmap and push it to its next stage Tweaking and optimizing the metrics that define search quality and narrative relevance A proven interest or experience in global security, financial crimes, sanctions, export controls, or related domains 3+ years of experience in a Data Science or AI Engineering role Hands-on experience with semantic search — including familiarity with BM25, vector search, reranking, and retrieval evaluation Experience with RAG pipelines and working with agentic systems in production Proficiency in Python and SQL Strong product alignment — able to read a roadmap, take ownership of tickets, and drive initiatives forward independently Bonus: Experience with graph-aware search or integrating knowledge graph outputs into retrieval systems