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Shift Technology is seeking an Artificial Intelligence Researcher to join the Agentic Claims squad, which develops AI agents that transform how insurers handle claims. The Research team at Shift plays a strategic role in developing cutting-edge AI technologies deployed globally, with a focus on Generative AI and agentic architectures. The company tackles complex real-world insurance challenges including fraud detection, liability analysis, subrogation opportunity detection, and decision support across heterogeneous and unstructured data (documents, free text, images, and structured claim data).
In this role, you will stay at the forefront of Generative AI and Agentic AI, including LLMs, multimodal models, tool-augmented agents, and agentic workflows. You will design, prototype, and rigorously evaluate specialized AI agents tailored to end-to-end insurance workflows. Key responsibilities include translating business problems into robust agentic systems (task decomposition, context and prompt design, tool integration, memory strategies, and advanced evaluation methodologies), taking ownership of AI systems from problem formulation and benchmarking through production deployment and continuous improvement, contributing to internal frameworks and benchmarks to accelerate experimentation, and collaborating closely with product, engineering, and data teams to ensure scalability and measurable business impact.
Shift's culture emphasizes innovation, trust, and industry transformation through a SaaS platform. The company operates across 50+ nationalities and countries, with a commitment to building reliable, production-grade AI systems that can reason over evidence, use tools and skills, and operate safely within critical business workflows.
REQUIREMENTS:
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field
- 3+ years of hands-on experience designing and deploying AI systems with strong exposure to Generative AI and LLM-based architectures
- Practical experience with prompt engineering, RAG pipelines, tool-augmented agents, and systematic evaluation of AI systems
- Comfortable using coding agents (GitHub Copilot, Claude Code, Codex) in daily work
- Proficiency in Python and modern AI frameworks (Microsoft Agent Framework, OpenAI Agents SDK, LangGraph)
- Autonomous, rigorous, and motivated by solving complex, high-impact real-world problems
- Business fluency in English (company working language)
- Fluency in French is a significant advantage
NICE TO HAVE:
- Experience developing and deploying AI agents in production environments
- Experience with multimodal models or AI-based document understanding
- Proficiency in C#
- Experience in the insurance industry
- Proximity to the Paris region
