AI Engineer
Build and ship LLM-powered product features, evaluation frameworks, and retrieval systems end-to-end. The role requires production experience with multi-provider LLM solutions, large-context architectures, and TypeScript, React.js, and Node.js, with regular in-person work in London.
About the job
Responsibilities
- 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 engineers, product managers, designers, and other cross-functional team members to create a product.
Requirements
- Engineering experience at technology and product-driven companies.
- Experience shipping multi-provider LLM-based solutions to production, using providers such as OpenAI, Anthropic, or Google.
- Proficiency with LLM infrastructure platforms for prompt management, logging, tracing, and evaluations.
- Experience designing large-context LLM systems, including RAG, knowledge graphs, hybrid search, and memory.
- Experience building features end-to-end with TypeScript, React.js, and Node.js.
- Willingness to work in person from the London office five days per week, most of the time.
- Startup experience or strong interest in zero-to-one product development.
Compensation and Benefits
- Salary: 100000–130000 GBP.
- Compensation is positioned slightly above market on salary and above market on equity.
- Relocation assistance is available for candidates moving to London.
Skills
LLMs, OpenAI, Anthropic, GCP, Prompt Management, Llm Evaluation, Semantic Retrieval, Embeddings, Vector Stores, RAG, Knowledge Graphs, Hybrid Search, TypeScript, React, Node.js
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