Jose Diaz is a Staff AI Engineer with over a decade of backend systems experience, now focused on building and orchestrating multi-agent LLM platforms with real-time tooling and advanced reasoning. He combines deep hands-on expertise in LLMs, RAG, prompt engineering and LLMOps with strong backend skills in Python, TypeScript, Go and cloud-native tooling like Kubernetes, Kafka and AWS. Jose has led teams and product integrations from solutions architecture to engineering management, and has scaled observability, evaluation and security practices for production AI agents. He’s known for applying plan-then-act techniques to boost agent reasoning and for building in-house LLMOps tools rather than relying solely on third-party stacks. Based in the Girona area, he pairs an engineer’s rigor (informatics degree) with a marketer’s perspective, bringing pragmatic product focus to technical leadership.
9 years of coding experience
9 years of employment as a software developer
Engineer's degree, Informática, Engineer's degree, Informática at Universidad Nacional de Educación a Distancia - U.N.E.D.
University Degree, Marketing, University Degree, Marketing at Universidad Rey Juan Carlos
:fire: Qlik mashup boilerplate with ReactJS, Leonardo UI, Enigma.js and Picasso.js
Contributions:8 commits, 1 PR, 6 pushes in 7 months
reactenigmaleonardo-uiboilerplatepicasso
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