AI Engineer, Retrieval & Agentic Systems
Hybrid Madrid Full-time Mid-level AI Engineering
At a glance
Mid-level AI Engineering role at Kharon. Madrid · full-time · €85,000–€95,000 base.
SalaryStated by Kharon
€85,000 – €95,000
Base salary for this role, in EUR per year, as published in the posting.
RoleAI Engineering
SeniorityMid-level
LocationMadrid
WorkplaceHybrid
EmploymentFull-time
Base pay€85,000–€95,000
PostedJul 2, 2026 · 3mo ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Evolve Corestream, the risk intelligence feed, so customers can explore entity insights and topic-based risk narratives
- Improve semantic search using BM25 tuning, semantic distance, RAG, and reranking to broaden content discovery
- Bring graph-based risk analysis into search results and sub-network exploration
- Advance the narrative pipeline that turns graph and analytical data into accurate customer intelligence
- Set search-quality and narrative-relevance measures, and move the Corestream roadmap forward with Product and Engineering
What you bring
- At least three years in a data science or AI engineering position
- Practical semantic-search experience, including BM25, vector search, reranking, and retrieval evaluation
- Experience building with RAG pipelines and deploying agentic systems
- Working proficiency in Python and SQL
- A track record of taking roadmap items and tickets forward independently
Who this fits
This role suits an AI engineer who can own search and narrative-generation work while partnering with Product and Engineering. The job is based in Madrid, with three office days each week.
From the employer
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.
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