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Agentic AI Expert

Pubblicato il 22-09-2026 - European Tech Recruit in Toscana

Agentic AI Expert
Pisa, Italy (On-site)
12-month full-time leased-worker contract

A global technology company is investing heavily in next-generation AI solutions designed to transform how complex engineering systems are developed, simulated and tested. Its research and engineering teams are bringing together advanced AI, software engineering and model-based technologies to create smarter tools for engineers working on sophisticated real-world systems.

As an Agentic AI Expert, you will join a collaborative, research-led team focused on bringing modern LLM and agentic AI capabilities into engineering applications. Focussing on Model-Based Engineering and help shape how AI can automate and improve engineering workflows, while working with technologies including LLMs, RAG, multi-agent architectures and tool integration.

Key Responsibilities
- Design and integrate agentic AI workflows into existing engineering and Model-Based Design software.
- Develop AI-driven capabilities for engineering code, model, test and diagram generation.




- Build multi-agent workflows that interact with engineering tools, simulations and external systems.
- Integrate LLM APIs, retrieval systems, tool calling and Model Context Protocol servers into software applications.
- Analyse and improve distributed LLM workflows, focusing on performance, scalability, reliability and efficiency.
- Collaborate with software engineers, researchers and systems specialists to turn AI concepts into usable engineering products.

Required Experience & Skills
Essential:
- Master's degree in Computer Science, Engineering or a related technical discipline; PhD advantageous.
- Strong professional programming experience with Python and Java.
- Hands-on experience developing applications using Large Language Models (LLMs) and LLM APIs.
- Practical experience with LangChain, LangGraph, or comparable AI/agent frameworks.
- Experience developing AI agents, agentic workflows and multi-agent systems.
- Strong understandi

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