We’re looking for a Senior AI Engineer to help build production-grade AI systems with a strong focus on retrieval quality, agent orchestration, and reliability at scale
. You would take ownership of the full RAG pipeline, from document ingestion and chunking strategy through retrieval design, evaluation, model integration, and stateful agent workflows. The work sits at the intersection of
applied LLM systems, backend engineering, and production architecture , so it will suit someone who enjoys turning complex ideas into robust, scalable systems that work in the real world. You’ll join a team that values
strong ownership, thoughtful system design, practical problem solving, and collaboration . The environment is engineering-led and hands-on, with a focus on building solutions that are not only technically interesting, but also observable, maintainable, and trustworthy in production.
Key Responsibilities
Chunking and ingestion architecture — deterministic, validation-...