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 ( ). /p

📌 Agentic AI Expert (Pisa)
🏢 European Tech Recruit
📍 Pisa