Senior Ai Systems Engineer – Agentic Ai & Model-Based Design (M/F/Nb)

Randstad Italy

Pisa

In loco

EUR 47.000 - 70.000

Tempo pieno

5 giorni fa
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Descrizione del lavoro

Randstad Digital in Pisa, Italy seeks a Senior AI Systems Engineer to advance Model-Based Design tools with agentic AI, focusing on simulation, code generation, and testing. The role is on-site in Pisa, requiring MSc in engineering/CS, 3–5 years of experience, and strong English communication.

Proven expertise in Java, Python, LangChain, PyTorch, and OpenAI API is essential, along with experience in multi-agent architectures and tool calling. Travel across Europe/China may be required.

Competenze

  • M.Sc. in Engineering, Computer Science, or related field (PhD preferred).
  • 3–5 years of relevant experience in AI/Model-Based Design.
  • Fluency in English; ability to work in a multicultural environment.

Mansioni

  • Support the evolution of proprietary MBD tools toward AI-assistance and scalable simulation.
  • Lead integration of agentic AI technologies into existing products and toolchains.

Conoscenze

Java
Python
AI frameworks
Agentic AI
Multi-agent

Formazione

M.Sc. in Engineering/CS

Strumenti

LangChain
LangGraph
Docling
PyTorch
OpenAI API

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.

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).

da 3 a 5 anni

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

Senior AI Systems Engineer – Agentic AI & Model-Based Design (M/F/NB) • Pisa, Toscana, Italia

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