Agentic AI expert for Model-Based Engineering (Leased Contract)
Pubblicato il 26-10-2026 - HUAWEI TECHNOLOGIES ITALIA in Pisa
h3pFibonacci Research Center plays a leading role within Huawei Group in researching new technologies and applications in the field of digital power and electric vehicles. The company is looking for an expert to enlarge its team in charge of developing next-generation Model-Based Design tools. In this role, you will be a system engineer improving simulation, code and diagram generation of the existing tools through the integration of the latest AI agentic technologies.
You will be joining a dynamic and highly collaborative team of experts and PhDs passionate about research projects and innovative solutions. /h3pSupport the technological evolution of proprietary MBD tools towards AI-assistance, large-scale efficient simulation, optimized code and test generation. /ph3Work Location: /h3pPisa, Italy /ph3Type of contract: /h3pleased worker, full-time, on-site /ph3Mandatory requirements: /Sc in Engineering or Computer Science. PhD preferred /liliExcellent knowledge of both Java and Python programming languages. /liliExperience with AI frameworks (e.g., langchain, langgraph, docling, Pytorch, etc.) /liliHands-on experience with AI coding agents, e.g., Claude Code, OpenCode, Codex or others. /liliExperience with OpenAI API, MCP servers, Tool calling /liliExperience on agentic patterns, prompt engineering, chain of thought /liliExperience in building efficient multi-agent AI architectures (including RAG, orchestration and tool calling) and integration into existing products /liliAnalysis and performance optimization (i.e. latency, scalability, token efficiency) of complex LLM distributed pipelines. /liliFamiliarity with model-based engineering concepts (e.g., UML, Simulink/Stateflow diagrams). /liliKnow-how on software testing, especially regression testing. /liliExcellent communication, own initiative, teamwork and product-oriented mindset. /liliFluency in English and ability to work in a multi-cultural environment /liliAvailability to travel in Europe and in China.
/h3ulliExpertise in model-to-text, text-to-model and model-to-model transformations. /liliExperience on reinforcement learning, model quantization, distillation and fine tuning. /liliRTOS or control/vehicle software development experience are preferred. /liliStrong knowledge of C++ /liliExperience with the Eclipse-Modeling Framework (EMF). /liliExperience with MLOps, especially in setting up private LLM deployments with vLLM. /liliKnowledge of CI/CD frameworks. /You will join a multidisciplinary research team working on some of the most challenging topics in AI, software systems, and intelligent vehicles, driving innovation in next-generation mobility technologies. The position provides access to real-world datasets, large-scale computing resources, international collaboration opportunities, and a clear pathway to transform scientific research into impactful technologies deployed at scale. /ppWe offer a gross annual salary typically starting from €47,000, with the final compensation determined based on objective criteria such as professional experience, competencies, and seniority.
The applicable collective bargaining agreement is the CCNL Telecommunications, Level C3. /ph3Privacy Statement /h3pWe therefore commit to protecting your privacy following the local legal data privacy legislation. Please read and understand our West European Recruitment Privacy Notice before submitting your personal data to Huawei so that you fully understand how we process and manage your personal data received ( /ppIf you have any queries in regards to Huawei WEU Data Privacy please feel free to contact our WEU Data Protection Officer by clicking here ( /ppHuawei is an Equal Opportunity Employer and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or any other legally protected status. All qualified applicants will receive consideration for employment without regard to these characteristics.