Expert Cloud H/F (Italia)

Expert Cloud H/F (Italia)

30 ago
|
European Tech Recruit
|
Italia

30 ago

European Tech Recruit

Italia

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.
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
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 understanding of RAG, tool calling, orchestration, structured outputs,

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