Agentic AI Expert for Model-Based Engineering
Pubblicato il 18-10-2026 - European Tech Recruit in Pisa
Agentic AI Expert for Model-Based Engineering
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About the Role
Our client is a leading global technology company with a strong research and development presence in Europe, focused on developing advanced technologies and applications across digital power, electric vehicles, and intelligent engineering systems.
They are currently looking for an Agentic AI Expert for Model-Based Engineering to join their R&D; team in Pisa, Italy.
In this role, you will work as a System/Software Engineer within a highly collaborative research team, helping to develop the next generation of Model-Based Design tools. The focus will be on improving simulation, code generation, diagram generation, and engineering workflows through the integration of the latest Generative AI and Agentic AI technologies.
You will work alongside experienced engineers, researchers, and PhDs on innovative R&D; projects with direct application to future engineering software platforms.
Key Responsibilities
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- Support the technological evolution of proprietary Model-Based Design tools through AI-assisted engineering.
- Develop and integrate Agentic AI capabilities into existing engineering and software products.
- Improve large-scale simulation workflows, code generation, diagram generation, and automated test generation.
- Design and implement efficient AI agent architectures, including RAG, orchestration, tool calling, and multi-agent systems.
- Integrate LLM and AI technologies into existing engineering software environments.
- Analyse and optimise complex LLM pipelines, including latency, scalability, and token efficiency.
- Collaborate closely with software engineers, researchers,
and system engineering teams.
Mandatory Requirements
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- MSc in Engineering, Computer Science, or a related discipline. PhD preferred.
- Excellent knowledge of both Java and Python.
- Experience with AI frameworks such as LangChain, LangGraph, Docling, PyTorch, or similar technologies.
- Hands-on experience with AI coding agents such as Claude Code, OpenCode, Codex, or similar tools.
- Experience with OpenAI API, MCP servers, and tool calling.
- Strong understanding of Agentic AI patterns, prompt engineering, and LLM-based workflows.
- Experience designing and building efficient multi-agent AI architectures, including:
- RAG
- orchestration
- integration with existing software products
- Experience analysing and optimising distributed LLM pipelines for scalability, latency, and token efficiency.
- Familiarity with Model-Based Engineering / Model-Based Design concepts such as UML, Simulink, Stateflow, or similar modeling environments.
- Knowledge of software testing, particularly regression testing.
- Strong communication skills, initiative, teamwork, and a product-oriented mindset.
- Fluent English and comfortable working in an international, multicultural environment.
- Availability to travel within Europe and occasionally to China.
Nice to Have
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- Experience with model-to-text, text-to-model, or model-to-model transformations.
- Experience with reinforcement learning, model quantisation, distillation, or fine-tuning.
- Experience with RTOS, embedded systems, control software, or automotive/vehicle software development.
- Strong C++ knowledge.
- Experience with the Eclipse Modeling Framework (EMF). xysqume
- Experience with MLOps and private LLM deployments, particularly using vLLM.
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