Autonomous AI Workflow Developer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7j8n9w

Agentic AI Expert Pisa, Italy (On-site)12-month full-time leased-worker contractA 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.As 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.Key ResponsibilitiesDesign and integrate agentic AI workflows into existing engineering and Model-Based Design software.Develop AI-driven capabilities for engineering code, model, test and diagram generation.Build multi-agent workflows that interact with engineering tools, simulations and external systems.Integrate LLM APIs, retrieval systems, tool calling and Model Context Protocol servers into software applications.Analyse and improve distributed LLM workflows, focusing on performance, scalability, reliability and efficiency.Collaborate with software engineers, researchers and systems specialists to turn AI concepts into usable engineering products.Required Experience & SkillsEssential:Master's degree in Computer Science,



Engineering or a related technical discipline; PhD advantageous.Strong professional programming experience with Python and Java.Hands-on experience developing applications using Large Language Models (LLMs) and LLM APIs.Practical experience with LangChain, LangGraph, or comparable AI/agent frameworks.Experience developing AI agents, agentic workflows and multi-agent systems.Strong understanding of RAG, tool calling, orchestration, structured outputs, prompt engineering, task decomposition and planning.Experience integrating AI capabilities into existing software products or engineering applications.Experience working with software testing and regression testing.Understanding of LLM pipeline optimisation, including latency, scalability, throughput, reliability and token efficiency.Familiarity with Model-Based Engineering, including UML, block diagrams, state machines or simulation models.Strong English communication skills and the ability to work effectively within an international engineering environment.Willingness to work on-site in Pisa, Italy.Desirable:Experience with model-to-text, text-to-model or model-to-model transformations.Knowledge of domain-specific languages, model transformation or code generation frameworks.Experience with C++, embedded systems, real-time software, automotive or vehicle software.Experience with Eclipse Modeling Framework (EMF)



or similar modelling ecosystems.Experience with reinforcement learning, fine-tuning, quantisation or knowledge distillation.Experience with MLOps, private LLM deployments or vLLM.Familiarity with CI/CD and automated software delivery.Experience evaluating agent reliability, tool-use accuracy and AI workflow performance.Why Apply?Apply modern LLM and agentic AI technology to complex real-world engineering problems.Build practical AI systems involving agents, RAG, multi-agent architectures, tool use and engineering automation.Work alongside experienced engineers, researchers and technical specialists developing next-generation engineering solutions.Help turn emerging AI capabilities into usable technologies that can improve how engineers design, test and simulate complex systems.Collaborate with teams and technical stakeholders across an established global technology organisation.12-month full-time leased-worker contract providing benefits comparable to a permanent employee.Recruiter's NoteWe 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.Apply now or send a copy of your CV, referencing the title and location, and with a short introduction to (email hidden) 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 (https://eu-recruit.Com/wp-content/uploads/2025/01/European-Tech-Recruit-Privacy-Notice-2025.Pdf).

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7j8n9w