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About the Role:
- Turn LLMs and multimodal models into reliable agents and assistants for insurance automation and assistance.
- Work at the intersection of cutting-edge AI and real operational complexity, with direct production impact.
Key Responsibilities:
- Design and build LLM-based agents for claims intake, triage, coverage checks, and document processing.
- Develop agentic workflows with tools, APIs, business rules, and retrieval (RAG) including human-in-the-loop.
- Apply multimodal models to extract information from complex insurance documents.
What We're Looking For:
- Bachelor or Master degree in Data Science, Machine Learning, or related field with 3+ years experience.
- Hands-on experience with LLMs, RAG, tool use, and agent frameworks like LangGraph or LlamaIndex.
- Strong Python skills, familiarity with NLP, multimodal models, and data engineering concepts.
What We Offer:
- A role at the heart of agentic AI in insurance with real client projects.
- Access to state-of-the-art models, tools, and infrastructure.
- Flexible work arrangements including remote and hybrid options.
Omni:us
omni:us pioneers AI for insurance, building systems that understand claims and automate complex insurance operations. They are part of adesso, one of Europe's leading IT service providers, and focus on agentic and generative AI with a decade of experience.