Research Engineer (Physical Ai)

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79asch

Questa posizione è in Generali Italia Riassunto dell'opportunità da parte della Joinrs AI : Generali Italia ricerca un Esperto in Sistemi Multi-Agente e Intelligenza Collettiva con laurea magistrale o dottorato in Informatica, Intelligenza Artificiale, Ingegneria o discipline STEM affini .
Il candidato lavorerà all'interno dell'Agorai Innovation Hub collaborando con team interni ed esterni per integrare sistemi AI avanzati in contesti industriali complessi.
L'offerta prevede un ambiente inclusivo con cultura aziendale solida, formazione continua e possibilità di crescita in un gruppo internazionale leader nei servizi assicurativi.
Il processo di selezione sarà interamente gestito da Generali Italia.
-- 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 systems; Build 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 reliably; Design rigorous experiments that validate behavior at the system level, not just the component level — emergent properties require emergent evaluation; Integrate 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 control; Define 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 degrading; Stay current with the research frontier in multi-agent systems, swarm intelligence, and autonomous systems — and bring back what is applicable.
Requirements: Master's degree or PhD in Computer Science, Artificial Intelligence, Data Science, Engineering or a related STEM field; At 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 theory; At least 3–5 years of experience in simulation tools and methodologies to develop and validate approaches before hardware integration; Experience in integrating AI systems with physical infrastructure or robotic platforms.
Comfortable working with robotic middleware at an operational level.
Technical Skills: Fluent across the stack: LLM-based systems, classical ML, APIs, microservices, inference optimization; Strong software engineering fundamentals — your experimental code does not stay experimental forever, and you know when and how to make the transition; Comfort 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 appropriate; Writing production-quality code and hold others to the same standard.
Soft Skills Ability to collaborate with external technical engineering teams; Excellent communication and stakeholder management skills; able to interact effectively with both technical teams and C-suite executives or institutional clients.
Languages: English: Full professional proficiency required (primary working language for international projects and publications); Italian: Knowledge of Italian is considered an advantage.
Essere Partner di Vita è la nostra ambizione: ogni giorno vogliamo essere al fianco dei nostri clienti prendendoci cura delle loro vite e dei loro sogni.
Questo per noi è Più di un Lavoro .
Siamo parte di un importante Gruppo internazionale con oltre 82 mila persone in tutto il mondo e più di 68 milioni di clienti.
Siamo tra i principali player globali del settore assicurativo: l'innovazione e la sostenibilità sono nel nostro DNA.
Generali Italia è l'assicuratore più conosciuto in Italia con oltre ?28 miliardi di premi totali, 15 mila dipendenti e una rete capillare di 40 mila distributori, oltre ai canali online e di bancassurance.
A Generali Italia fanno capo Alleanza Assicurazioni, Das, Genertel e Genertellife, Generali Welion, Generali Jeniot e Leone Alato, oltre alle attività della Business Unit Cattolica.
Il Gruppo Generali offre delle interessanti opportunità di arricchimento professionale in un contesto lavorativo caratterizzato da: Cultura aziendale solida e aperta, modi di lavorare innovativi, formazione e affiancamento a supporto di un inserimento efficace; Ambiente di lavoro inclusivo in cui ognuno si sente accolto, libero di esprimere al meglio la propria identità, le proprie idee e le proprie capacità: perché siamo Più che diverse, Persone Uniche ; Qualità dei processi e iniziative per le nostre persone, che ci distinguono come Top Employer.
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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/79asch