pulliSenior AI Systems Engineer ?
Agentic AI Model-Based Design (M/F/NB) /li /ul h3Senior AI Systems Engineer ?
Agentic AI Model-Based Design (M/F/NB) /h3 pPisa /p pRandstad Digital, the specialized division of Randstad Italia focused on the search, selection, and training of ICT professionals, is looking for anAgentic AI Expert for Model-Based Engineering.
/p pOur 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.
/p pThe company is looking for an expert toexpandits 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 PhDs passionate about research projects and innovative solutions.
/p pLocation:Pisa, Italy (On-site).
/p pSalary Range:Approx.
€****** to €****** gross/year (commensurate with experience).
/p pM.Sc.
in Engineering, Computer Science, or a related field (PhD preferred).
/p pExcellent knowledge of bothJava and Pythonprogramming languages.
/p pHands-on experience with AI frameworks (e.g., LangChain, LangGraph, Docling, PyTorch).
/p pHands-on experience with AI coding agents (e.g., Claude Code, OpenCode, Codex).
/p pExperience with the OpenAI API, MCP servers, and tool calling.
/p pExperiencewithagentic patterns, prompt engineering, and Chain-of-Thought reasoning.
/p pExperience in building efficient multi-agent AI architectures (including RAG, orchestration, and tool calling) and integrating them into existing products.
/p pExpertise in analysis and performance optimization (e.g., latency, scalability, token efficiency) of complex distributed LLM pipelines.
/p pFamiliarity with Model-Based Engineering concepts (e.g., UML, Simulink/Stateflow diagrams).
/p pPractical know-howinsoftware testing, especially regression testing.
/p pExcellent communication skills, initiative, teamwork, and a product-oriented mindset.
/p pFluency in English and the ability to work effectively in a multicultural environment.
/p pAvailability for business trips in Europe and China.
/p pNice to Have: /p pExpertise in model-to-text, text-to-model,



and model-to-model transformations.
/p pExperienceinreinforcement learning, model quantization, distillation, and fine-tuning.
/p pRTOS or control/vehicle software development experience.
/p pStrong knowledge of C++.
/p pExperience with the Eclipse Modeling Framework (EMF).
/p pExperience with MLOps, especially in setting up private LLM deployments with vLLM.
/p pKnowledge of CI/CD frameworks.
/p ulliSenior AI Systems Engineer ?
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📌 Senior Ai Systems Engineer? Agentic Ai & Model-Based Design (M/F/Nb) (Pisa)
🏢 Randstad Italia
📍 Pisa