Want to build AI agents that actually give trustworthy, explainable answers not confident guesses? This is a role for a GenAI engineer who knows that the way you get there is by grounding LLMs in real, governed enterprise knowledge.
You’ll join a specialist team at a general life-sciences organisation building a new generation of knowledge-graph-powered AI agents. Your focus is the tooling and the applications on top of the intelligence layer, not the underlying data.
What You Will Build
Picture an agent that answers a question like “which priority hospitals in the US have decreasing sales?” To do it, the agent reads the definitions of the business terms from a knowledge graph so it understands the question, then queries the data warehouse for the real figures, and composes a grounded, traceable answer.
That grounding is the whole point: it’s what cuts hallucination and makes every answer explainable. If building that kind of system sounds like your idea of a good problem, read on.
What You Will Do
Design and build LLM-powered agents and retrieval solutions on top of enterprise knowledge and data
Connect agents to enterprise systems through tool definitions and MCP-style connections
Benchmark and evaluate models, then take solutions from prototype into production
Build reusable frameworks and accelerators for agentic AI
Define the testing, evaluation, monitoring and governance for what you ship
What You Will Bring (essential)
Strong hands-on GenAI / LLM engineering – you’ve built real solutions with LLMs: agents, RAG, prompt and tool design, benchmarking, and shipping to production
Hands-on experience with knowledge graphs and semantic web in applications – SPARQL, RDF and related standards
Strong Python and modern API development
Solid software engineering fundamentals — Git, CI/CD, testing, cloud-native architecture
A clear communicator who works well with both technical and business stakeholders
4+ years of AI engineering experience is a starting point —
📌 AGENTIC AI ENGINEER (Barcelona)
🏢 Data & AI Magazine
📍 Barcelona
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