Senior ai systems engineer

04 ott - Italia
Randstad Technologies Talent Academies

Functieomschrijving Randstad Digital, the specialized division of Randstad Italia focused on the search, selection, and training of ICT professionals, is looking for an Agentic AI Expert for Model-Based Engineering. Our client is a global leader in telecommunications, enterprise solutions, and consumer electronics. As a pioneer in the industry, the company is committed to shaping the future of digital ecosystems through cloud computing, AI, and next-generation connectivity solutions.
Its Research Center in Pisa plays a central role within the Group, focusing on advanced research into new technologies and applications in digital power and electric vehicles. The company is looking for an expert to expand its team in charge of developing next-generation Model-Based Design (MBD) tools.
In this role, you will act as a Systems Engineer, enhancing the simulation, code generation, and diagram generation capabilities of existing tools through the integration of cutting-edge agentic AI technologies. You will join a dynamic,



highly collaborative team of experts and Ph Ds passionate about research projects and innovative solutions.
Location:
Pisa, Italy (On-site). Contract: via Randstad Italia Sp A. Salary Range: Approx. €47,000 to €70,000 gross/year (commensurate with experience).
Responsabilità
Key Responsibilities:
Support the technological evolution of proprietary MBD tools toward AI-assistance, large-scale efficient simulation, and optimized code and test generation.
Functie-eisen
M. Sc. in Engineering, Computer Science, or a related field (Ph D preferred). Excellent knowledge of both Java and Python programming languages. Hands-on experience with AI frameworks (e.g., Lang Chain, Lang Graph, Docling, Py Torch). Hands-on experience with AI coding agents (e.g., Claude Code, Open Code, Codex). Experience with the Open AI API, MCP servers, and tool calling. Experience with agentic patterns, prompt engineering, and Chain-of-Thought reasoning.
Experience in building efficient mu

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