pbAgentic AI Expert /b /ppPisa, Italy (On-site) /pp12-month full-time leased-worker contract /ppbr/ppA global technology company is investing heavily in next-generation AI solutions designed to transform how complex engineering systems are developed, simulated and tested.
Its research and engineering teams are bringing together advanced AI, software engineering and model-based technologies to create smarter tools for engineers working on sophisticated real-world systems.
/ppbr/ppAs an Agentic AI Expert, you will join a collaborative, research-led team focused on bringing modern LLM and agentic AI capabilities into engineering applications.
Focussing on Model-Based Engineering and help shape how AI can automate and improve engineering workflows, while working with technologies including LLMs, RAG, multi-agent architectures and tool integration.
/ppbr/ppbKey Responsibilities /b /pulliDesign and integrate agentic AI workflows into existing engineering and Model-Based Design software.
/liliDevelop AI-driven capabilities for engineering code, model, test and diagram generation.
/liliBuild multi-agent workflows that interact with engineering tools, simulations and external systems.
/liliIntegrate LLM APIs, retrieval systems, tool calling and Model Context Protocol servers into software applications.
/liliAnalyse and improve distributed LLM workflows, focusing on performance, scalability, reliability and efficiency.
/liliCollaborate with software engineers, researchers and systems specialists to turn AI concepts into usable engineering products.
/li /ulpbr/ppbRequired Experience Skills /b /ppbEssential: /b /pulliMaster's degree in Computer Science, Engineering or a related technical discipline; PhD advantageous.
/liliStrong professional programming experience with Python and Java.




/liliHands-on experience developing applications using Large Language Models (LLMs) and LLM APIs.
/liliPractical experience with LangChain, LangGraph, or comparable AI/agent frameworks.
/liliExperience developing AI agents, agentic workflows and multi-agent systems.
/liliStrong understanding of RAG, tool calling, orchestration, structured outputs, prompt engineering, task decomposition and planning.
/liliExperience integrating AI capabilities into existing software products or engineering applications.
/liliExperience working with software testing and regression testing.
/liliUnderstanding of LLM pipeline optimisation, including latency, scalability, throughput, reliability and token efficiency.
/liliFamiliarity with Model-Based Engineering, including UML, block diagrams, state machines or simulation models.
/liliStrong English communication skills and the ability to work effectively within an international engineering environment.
/liliWillingness to work on-site in Pisa, Italy.
/li /ulpbr/ppbDesirable: /b /pulliExperience with model-to-text, text-to-model or model-to-model transformations.
/liliKnowledge of domain-specific languages, model transformation or code generation frameworks.
/liliExperience with C++, embedded systems, real-time software, automotive or vehicle software.
/liliExperience with Eclipse Modeling Framework (EMF)



or similar modelling ecosystems.
/liliExperience with reinforcement learning, fine-tuning, quantisation or knowledge distillation.
/liliExperience with MLOps, private LLM deployments or vLLM.
/liliFamiliarity with CI/CD and automated software delivery.
/liliExperience evaluating agent reliability, tool-use accuracy and AI workflow performance.
/li /ulpbr/ppbWhy Apply?
/b /pulliApply modern LLM and agentic AI technology to complex real-world engineering problems.
/liliBuild practical AI systems involving agents, RAG, multi-agent architectures, tool use and engineering automation.
/liliWork alongside experienced engineers, researchers and technical specialists developing next-generation engineering solutions.
/liliHelp turn emerging AI capabilities into usable technologies that can improve how engineers design, test and simulate complex systems.
/liliCollaborate with teams and technical stakeholders across an established global technology organisation.
/lili12-month full-time leased-worker contract providing benefits comparable to a permanent employee.
/li /ulpbr/ppbRecruiter's Note /b /ppWe are particularly interested in Agentic AI Experts who combine strong software engineering with practical experience building LLM-powered applications.
Strong hands-on experience with Python, Java, LLMs, RAG, LangChain/LangGraph and agentic systems is the key differentiator.
/ppbr/ppApply now or send a copy of your CV, referencing the title and location, and with a short introduction to .
/ppbr/ppBy applying to this role you understand that we may collect your personal data and store and process it on our systems.
For more information please see our Privacy Notice ( ).
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📌 Agentic Ai Expert (Pisa)
🏢 European Tech Recruit
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