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 on use case definition and technical direction.
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The researcher will work at the intersection of language understanding, knowledge representation, and trustworthy AI. This means combining LLMs with structured knowledge to ground reasoning; designing evaluation frameworks that surface failure modes before they reach production; and building information extraction systems whose outputs can be audited.
Key responsibilities of the role will include:
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- Own the research-to-production arc on language understanding and knowledge-grounded AI: from literature review and experimentation to deployment and monitoring
- Design AI systems whose outputs can be explained, audited, and trusted in regulated contexts — and know when simpler approaches serve that goal better than complex ones
- Build production-quality services around your models: APIs, inference pipelines, evaluation harnesses
- Design evaluation frameworks that go beyond benchmark metrics — testing for failure modes, edge cases, and behavior under distribution shift
- Work on information extraction, semantic understanding, and structured knowledge problems grounded in real industrial data
- Stay current with the research frontier in language models, interpretability, and trustworthy AI;
- Contribute to technical standards and code quality across the team
- Work on a genuinely hard and open research problem with direct industrial application
The role is based in Trieste and includes a hybrid work model, offering flexibility through remote working days.
Requirements
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- Master's degree or PhD in Computer Science, Artificial Intelligence, Data Science, Engineering or a related STEM field
- At least 3–5 years of experience working with NLP o
📌 Research Engineer (Trieste)
🏢 Generali
📍 Trieste
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