What you'll be doing

Own the development and application of LLM-based features end-to-end
Build and maintain evaluation frameworks for prompt iteration and semantic retrieval
Optimize embeddings and vector stores for performance and scalability
Interact with users to understand their problems and design solutions
Stay up-to-date with the latest trends in LLMs and applied AI practices
Collaborate with a cross-functional team of engineers, product managers, designers, and other members to create a cutting-edge product

Requirements

Engineering experience at tech and product-driven companies
Shipping multi-provider LLM-based solutions to production (using e.g. OpenAI, Anthropic, Google, etc.)
Proficiency with LLM infrastructure platforms (prompt management, logging/tracing, evals)
Experience designing large-context LLM systems (RAG, knowledge graphs, hybrid search, memory)
Building features end-to-end with TypeScript, React.js, and Node.js

Excited to work in-person from the London office most of the time
Experience working in or strong interest in startup environments and zero-to-one phases
Passion for experimenting with and understanding LLMs deeply
Value working with kind, ambitious, and pragmatic people

Competitive compensation with salary slightly above market and equity above market
Work primarily in-person at a bright, spacious office in Old Street, London
Relocation assistance available for candidates moving to London
Be part of an early founding team shaping product and company growth 100x