22 set - Pisa
Randstad Italy
ppRandstad 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. /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 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 PhDs passionate about research projects and innovative solutions. /p pLocation: Pisa, Italy (On-site). /p pSalary Range: Approx. €47.000 to €70.000 gross/year (commensurate with experience). /p pda 3 a 5 anni /p pM.Sc. in Engineering, Computer Science, or a related field (PhD preferred). /p pExcellent knowledge of both Java and Python programming 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 pExperience with agentic 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‑how in software 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 h3Nice to Have: /h3 ul liExpertise in model‑to‑text, text‑to‑model, and model‑to‑model transformations. /li liExperience in reinforcement learning, model quantization, distillation, and fine‑tuning. /li liRTOS or control/vehicle software development experience. /li liStrong knowledge of C++. /li liExperience with the Eclipse Modeling Framework (EMF). /li liExperience with MLOps, especially in setting up private LLM deployments with vLLM. /li liKnowledge of CI/CD frameworks. /li /ul h3Key Responsibilities: /h3 ul liSupport the technological evolution of proprietary MBD tools toward AI‑assistance, large‑scale efficient simulation, and optimized code and test generation. /li /ul pSenior AI Systems Engineer – Agentic AI Model-Based Design (M/F/NB) • Pisa, Toscana, Italia /p /p #J-18808-Ljbffr
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