Within the Agorai Innovation Hub we are looking for a talented and proactive resource, who will work directly with the AI Architect and Head of Technology, and in close collaboration with external engineering partners.We are building the intelligence layer for autonomous and semi-autonomous systems operating in complex industrial environments. Robotics execution is handled by a partner — the researcher’s job is to make those systems smarter: multi-agent coordination, adaptive decision-making, collective behavior that emerges from local rules. The research direction includes swarm intelligence applied to real industrial problems, not simulations.This role is fundamentally about integration — between research and reality, between AI systems and physical infrastructure, between your work and the engineering teams who own the hardware. You will need to earn technical credibility through the quality of your ideas and the reliability of your implementations.Key responsibilities of the role will include:Research and prototype multi-agent and collective intelligence approaches applicable to industrial automation — from simulation to integration with real systemsBuild the intelligence and coordination layer that interfaces with physical systems and robotic infrastructure — you do not own the hardware, but you need to understand how to talk to it reliablyDesign rigorous experiments that validate behavior at the system level, not just the component level — emergent properties require emergent evaluationIntegrate your AI systems with external engineering teams' stacks — this means clean interfaces, honest contracts,



and the ability to debug across boundaries you do not fully controlDefine evaluation frameworks for collective and adaptive behavior: what does it mean for the system to be working, and how do you know when it is degradingStay current with the research frontier in multi-agent systems, swarm intelligence, and autonomous systems — and bring back what is applicableThe role is based in Trieste and includes a hybrid work model, offering flexibility through remote working days.Master's degree or PhD in Computer Science, Artificial Intelligence, Data Science, Engineering or a related STEM fieldAt least 3-5 years of previous experience in multi-agent systems, autonomous systems, or collective intelligence — academic or industry, but with real implementation behind it, not just theoryAt least 3–5 years of experience in simulation tools and methodologies to develop and validate approaches before hardware integrationExperience in integrating AI systems with physical infrastructure or robotic platforms. Comfortable working with robotic middleware at an operational levelTechnical SkillsFluent across the stack: LLM-based systems, classical ML, APIs, microservices, inference optimizationStrong software engineering fundamentals — your experimental code does not stay experimental forever,



and you know when and how to make the transitionComfort working at the boundary of research and engineering: you can run a controlled experiment, and you can write a production service, and you know when each is appropriateWriting production-quality code and hold others to the same standardSoft Skills & Personal AttributesEntrepreneurial mindset: takes ownership, operates with autonomy and drives things forward without waiting for directionAbility to collaborate with external technical engineering teamsExcellent communication and stakeholder management skills; able to interact effectively with both technical teams and C-suite executives or institutional clientsLanguagesEnglish: Full professional proficiency required (primary working language for international projects and publications)Italian: Knowledge of Italian is considered an advantageWhat we offerWe offer employment at the VI Professional level with the relevant salary, in accordance with the CCNL ANIA for non-executive employees and the Generali Group Company Agreement.Gross annual salary starting from 50K. The final offer will be aligned with the candidate’s professional experience, technical and soft skills relevant to the role, and may include an individual variable component.We also offer:Lavoro da remoto and flexible hoursCorporate welfare systemMeal vouchersSupplementary health insurance and discounted insurance policiesWellbeing initiativesTraining and developmentStructured continuous learning paths (technical and managerial)Career development programsAccess to learning platforms and internal mobility opportunities

📌 Research Engineer (Physical AI) (Trieste)
🏢 Generali Group
📍 Trieste