Agentic AI & Systems Engineer – Model-Based Engineering (MBD) - (M, F, NB)

Randstad Digital Italia; Pisa; In loco; EUR 47.000 - 70.000; Tempo pieno

Descrizione del lavoro

Randstad Digital Italia, the specialized division of Randstad Italia, is seeking an Agentic AI Expert for Model-Based Engineering in Pisa. You will join a research-driven team to advance MBD tooling, focusing on AI-assisted simulation, code generation, and diagram generation.

The role requires a MSc in Engineering or CS (PhD preferred), strong Java and Python skills, experience with LangChain, PyTorch, and AI coding agents, plus knowledge of UML and Simulink.

Competenze

• M.Sc. in Engineering, Computer Science, or related field (PhD preferred).
• Excellent knowledge of Java and Python.
• Hands-on experience with AI frameworks (e.g., LangChain, LangGraph, Docling, PyTorch).
• Hands-on experience with AI coding agents (e.g., Claude Code, OpenCode, Codex).
• Experience with the OpenAI API, MCP servers, and tool calling.
• Experience with agentic patterns, prompt engineering, and Chain-of-Thought reasoning.
• Experience in building efficient multi-agent AI architectures (including RAG, orchestration, and tool calling).
• Familiarity with Model-Based Engineering concepts (e.g., UML, Simulink/Stateflow).
• Practical know-how in software testing, especially regression testing.
• Excellent communication skills, initiative, teamwork, and a product-oriented mindset.
• Fluency in English and the ability to work effectively in a multicultural environment.
• Availability for business trips in Europe and China.

Mansioni

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

Conoscenze

Java

Python

Prompt engineering

Chain-of-Thought

English fluency

Teamwork

Communication skills

Problem solving

Formazione

M.Sc. in Engineering or Computer Science

PhD preferred

Strumenti

LangChain

LangGraph

Docling

PyTorch

Claude Code

OpenCode

Codex

OpenAI API

MCP servers

Descrizione del lavoro

Randstad 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 (Pisa).

Our 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.

The 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.

Location: Pisa, Italy (On-site).

Salary Range: Approx. €47,000 to €70,000 gross/year (commensurate with experience).

Key Responsibilities

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

M.Sc. in Engineering, Computer Science, or a related field (PhD preferred).

Excellent knowledge of both Java and Python programming languages.

Hands-on experience with AI frameworks (e.g., LangChain, LangGraph, Docling, PyTorch).

Hands-on experience with AI coding agents (e.g., Claude Code, OpenCode, Codex).

Experience with the OpenAI API, MCP servers, and tool calling.

Experience with agentic patterns, prompt engineering, and Chain-of-Thought reasoning.

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

Expertise in analysis and performance optimization (e.g., latency, scalability, token efficiency) of complex distributed LLM pipelines.

Familiarity with Model-Based Engineering concepts (e.g., UML, Simulink/Stateflow diagrams).

Practical know-how in software testing, especially regression testing.

Excellent communication skills, initiative, teamwork, and a product-oriented mindset.

Fluency in English and the ability to work effectively in a multicultural environment.

Availability for business trips in Europe and China.

Nice to Have

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

Experience in reinforcement learning, model quantization, distillation, and fine-tuning.

RTOS or control/vehicle software development experience.

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.