Senior ai systems engineer - agentic ai & model-based design (m/f/nb)

ph3Functieomschrijving /h3 pRandstad 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 pContract: via Randstad Italia SpA. /p pSalary Range: Approx. €47,000 to €70,000 gross/year (commensurate with experience). /p h3Responsabilità /h3 h3Key Responsibilities: /h3 ul lipSupport the technological evolution of proprietary MBD tools toward AI-assistance, large-scale efficient simulation, and optimized code and test generation. /p /li /ul h3Functie-eisen /h3 ul lipM.Sc. in Engineering, Computer Science, or a related field (PhD preferred). /p /li lipExcellent knowledge of both Java and Python programming languages. /p /li lipHands-on experience with AI frameworks (e.g., LangChain, LangGraph, Docling, PyTorch). /p /li lipHands-on experience with AI coding agents (e.g., Claude Code, OpenCode, Codex). /p /li lipExperience with the OpenAI API, MCP servers, and tool calling. /p /li lipExperience with agentic patterns, prompt engineering, and Chain-of-Thought reasoning. /p /li lipExperience in building efficient multi-agent AI architectures (including RAG, orchestration, and tool calling) and integrating them into existing products. /p /li lipExpertise in analysis and performance optimization (e.g., latency, scalability, token efficiency) of complex distributed LLM pipelines. /p /li lipFamiliarity with Model-Based Engineering concepts (e.g., UML, Simulink/Stateflow diagrams). /p /li lipPractical know-how in software testing, especially regression testing. /p /li lipExcellent communication skills, initiative, teamwork, and a product-oriented mindset. /p /li lipFluency in English and the ability to work effectively in a multicultural environment. /p /li lipAvailability for business trips in Europe and China. /p /li /ul h3Nice to Have: /h3 ul lipExpertise in model-to-text, text-to-model, and model-to-model transformations. /p /li lipExperience in reinforcement learning, model quantization, distillation, and fine-tuning. /p /li lipRTOS or control/vehicle software development experience. /p /li lipStrong knowledge of C++. /p /li lipExperience with the Eclipse Modeling Framework (EMF). /p /li lipExperience with MLOps, especially in setting up private LLM deployments with vLLM. /p /li lipKnowledge of CI/CD frameworks. /p /li /ul pIl presente annuncio è rivolto a persone di genere femminile (F), maschile (M) e non binario (NB) ai sensi della Legge n., del Decreto Legislativo n. 198/2006 e del Decreto Legislativo n. 96/2026 ed è aperta a qualsiasi persona nel rispetto della diversity e dell'inclusività. Ti preghiamo di leggere l'informativa sulla privacy Randstad ( ai sensi dell'art. 13 del Regolamento (UE) 2016/679 sulla protezione dei dati (GDPR). /p /p #J-18808-Ljbffr