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Agentic AI Expert

Pubblicato il 23-09-2026 - Altro in Pisa

Agentic AI Expert - Model-Based Engineering
Contract: Full-time leased worker
Working Pattern: Fully onsite
The Opportunity We are looking for an Agentic AI Expert to join an innovative R&D; team developing next-generation Model-Based Engineering (MBE) and Model-Based Design (MBD) tools .
The role sits at the intersection of AI, software engineering and model-based engineering , with a strong focus on integrating the latest agentic AI technologies into existing engineering tools.
You will work as a System Engineer , helping evolve proprietary MBD platforms through AI-assisted simulation, code generation, diagram generation and automated testing.
You will join a highly collaborative team of engineers, researchers and PhDs working on advanced technology projects across digital power, electric vehicles and next-generation engineering solutions .
What You'll Be Doing Drive the evolution of proprietary MBD tools towards AI-assisted engineering
Integrate agentic AI technologies into existing engineering products
Develop AI-powered approaches for simulation, code and test generation




Design and implement efficient multi-agent AI architectures
Build and integrate RAG, orchestration and tool-calling capabilities
Work with AI coding agents and modern LLM development frameworks
Develop solutions using OpenAI APIs, MCP servers and tool calling
Analyse and optimise complex distributed LLM pipelines
Improve latency, scalability and token efficiency
Support large-scale and efficient simulation workflows
Contribute to automated regression testing and validation
Work across AI, software and model-based engineering disciplines
Collaborate with researchers and engineering teams to turn emerging AI technologies into practical product capabilities
The key focus is on bringing agentic AI into engineering workflows and creating tools that can intelligently assist with modelling, simulation, coding and testing.
Technical Experience We are looking for strong hands-on experience across AI/LLM

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