22 set
|
Randstad Italy
|
Pisa
22 set
Randstad Italy
Pisa
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
📌 Senior Ai Systems Engineer – Agentic Ai & Model-Based Design (M/F/Nb) (Pisa)
🏢 Randstad Italy
📍 Pisa