Research engineer (trustworthy ai)

Experteer OverviewEnvision and shape end-to-end AI solutions at Agorai by combining language understanding and structured knowledge.

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You will work closely with the AI Architect and Head of Technology to define use cases, guide technical direction, and deploy production-grade NLP systems.

You will design trustworthy, auditable AI that performs in regulated contexts and surface failure modes before production.

This role blends research with practical system building and stakeholder collaboration to deliver impact on industrial data and real-world problems.Retribuzione / BenefitsOwn the research-to-production arc for language understanding and knowledge-grounded AI, from literature review to deployment and monitoringDesign AI systems that are explainable, auditable, and trustworthy in regulated contexts, choosing simpler approaches when appropriateBuild production-quality services around models: APIs, inference pipelines, evaluation harnessesCreate evaluation frameworks that test for failure modes, edge cases, and distribution shiftWork on information extraction, semantic understanding, and structured knowledge grounded in industrial dataStay current with research in language models, interpretability, and trustworthy AIContribute to technical standards and code quality across the teamTackle a hard, open research problem with direct industrial applicationResponsabilitàMaster's xjrgpwk degree or PhD in CS, AI, Data Science, Engineering or related STEM field3–5 years of experience with NLP or language understanding in production environments (text classification, information extraction, semantic search, RAG, or generative systems)3–5 years of applied NLP or computer vision with real-world data and operational constraintsExperience across sectors: Healthcare, Financial Services, Mobility/Transport, Agriculture
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