About the job
At Shift Technology, we are at the forefront of revolutionizing the insurance landscape through our cutting-edge AI platform. Our unique blend of generative, agentic, and predictive AI empowers insurers to enhance underwriting, claims processing, fraud detection, and risk management, resulting in remarkable operational efficiency and superior customer satisfaction. Trusted by the world's foremost insurance providers, Shift Technology delivers scalable AI solutions that yield tangible business outcomes.
We pride ourselves on a culture that thrives on innovation, trust, and a commitment to transforming the insurance sector via our SaaS offerings. With a diverse team representing over 50 nationalities, we are united in our mission to shape the future of insurance.
About the Team
- Join our expansive Data Science team, comprising over 200 skilled Data Scientists globally.
- Our Data Scientists engage in comprehensive lifecycle roles, gaining profound expertise in data science, engineering, programming, business acumen, and client relations.
- At Shift, your contributions are significant; while we are a globally renowned leader, our size ensures that each team member's achievements are impactful.
- As part of the Data Science team, collaborate closely with technical specialists to deploy enterprise-level solutions for our clients.
Key Responsibilities
- Contribute actively to the US Health roadmap and engage with a variety of data types, including structured claims data, free text, documents, and images.
- Develop and optimize data pipelines (structured, text, documents, images) for large language models (LLMs) and multi-modal models.
- Design, create, and implement LLM-based solutions (RAG, embeddings, instruction tuning) for claims management, document comprehension, and related applications.
- Explore cutting-edge agentic AI technologies (Langchain/Langgraph, OpenAI Agent SDK, MCP, A2A), and develop minimum viable products for next-generation payment integrity solutions.
- Create bespoke tools allowing the agent to query internal databases, access external weather APIs, or compute impact forces using telemetry data.
- Establish robust evaluation frameworks (LLM-as-a-judge) to ensure unbiased, legally sound, and transparent agent decision-making.

