responsibilities include: • Designing and delivering an AI platform that supports large‐scale agentic automation and end‐to‐end claims journeys • Building robust RAG pipelines, LLM‐based systems, and deployment frameworks • Developing AI agents for claims handling, internal tooling, and customer‐facing chat solutions • Evolving an internal AI assistant and expanding … software engineering with a focus on LLMs and production AI systems • Expertise in deploying AI models and agents at scale, including RAG, embeddings, and LLM tooling • Hands‐on cloud engineering experience, ideally in GCP and its AI ecosystem • Strong Python engineering ability and experience building production‐grade services • Experience working ...