Agentic AI expert for Model-Based Engineering (Leased Contract)

Huawei Italy Research Centers; Pisa; On-site; EUR 47,000 - 57,000; Full time

Job summary

Huawei Italy Research Centers in Pisa, Italy, seeks an expert system engineer to advance next-generation Model-Based Design tools by integrating AI agentic technologies. You will enhance simulation, code and diagram generation, collaborating with a multidisciplinary team of researchers and PhDs.

The role requires hands-on experience with Java/Python, AI frameworks, and agentic patterns, with willingness to travel in Europe and China. On-site, full-time employment with competitive compensation.

Qualifications

• MSc in Engineering or CS; PhD preferred.
• Expert in Java and Python.
• Experience with AI frameworks (Langchain, PyTorch).
• Hands-on AI coding agents (Claude Code, OpenCode, Codex).
• Experience with OpenAI API and tool calling.
• Experience on agentic patterns and prompt engineering.
• Experience building multi-agent AI architectures with RAG and tool calls.
• LLM pipeline performance optimization (latency, token efficiency).
• Familiarity with UML/Simulink diagrams.
• Regression testing experience.
• Excellent communication and teamwork, product mindset.
• Fluent English; willing to travel Europe/China.

Responsibilities

• Support evolution of proprietary MBD tools towards AI-assistance.
• Enable large-scale efficient simulation and code/test generation.
• Integrate AI agentic technologies into existing products.

Skills

Java

Python

AI frameworks

AI agents

OpenAI API

Prompt engineering

Multi-agent AI

UML/Simulink

Software testing

English fluency

Education

M.Sc in Engineering

PhD preferred

Tools

Langchain

Langgraph

Docling

PyTorch

MCP servers

Job description

Short summary

Fibonacci 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 join a dynamic and highly collaborative team of experts and PhDs passionate about research projects and innovative solutions.

Position Responsibilities

Support the technological evolution of proprietary MBD tools towards AI-assistance, large-scale efficient simulation, optimized code and test generation.

Work Location

Pisa, Italy

Type of contract

leased worker, full-time, on-site

Mandatory requirements

• M.Sc in Engineering or Computer Science. PhD preferred


• Excellent knowledge of both Java and Python programming languages.


• Experience with AI frameworks (e.g., langchain, langgraph, docling, Pytorch, etc.)


• Hands-on experience with AI coding agents, e.g., Claude Code, OpenCode, Codex or others.


• Experience with OpenAI API, MCP servers, Tool calling


• Experience on agentic patterns, prompt engineering, chain of thought


• Experience in building efficient multi-agent AI architectures (including RAG, orchestration and tool calling) and integration into existing products


• Analysis and performance optimization (i.e. latency, scalability, token efficiency) of complex LLM distributed pipelines.


• Familiarity with model-based engineering concepts (e.g., UML, Simulink/Stateflow diagrams).


• Know-how on software testing, especially regression testing.


• Excellent communication, own initiative, teamwork and product-oriented mindset.


• Fluency in English and ability to work in a multi-cultural environment


• Availability to travel in Europe and in China.

Optional, but nice to have, requirements

• Expertise in model-to-text, text-to-model and model-to-model transformations.


• Experience on reinforcement learning, model quantization, distillation and fine tuning.


• RTOS or control/vehicle software development experience are preferred.


• Strong knowledge of C++


• Experience with the Eclipse-Modeling Framework (EMF).


• Experience with MLOps, especially in setting up private LLM deployments with vLLM.


• Knowledge of CI/CD frameworks.

What We Offer

We offer an exciting career opportunity to contribute to shaping the future of automotive computing. 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. We 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.

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