LLM AI Engineer — Founding Team, London Office

Mat Vin; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

Granola is seeking a self-starting software engineer to apply the latest LLM advances in user-centric products from its London office. You will stay on top of trends, build evaluation frameworks, and rapidly develop features that scale Granola to the next growth milestone.

You will work directly with users to understand needs and ship end-to-end LLM-powered solutions. The role emphasizes in-person collaboration with a cross-functional team and a startup-friendly culture, with relocation

Qualifications

• Engineering experience at tech and product-driven companies.
• Shipping multi-provider LLM-based solutions to production (OpenAI, Anthropic, Google, etc.).
• Proficiency with LLM infra 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.

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 a cross-functional team of engineers, product managers, designers, and other members to create a cutting-edge product

Skills

Builder mindset

Cross-functional teamwork

Startup experience

User-focused

Tools

TypeScript

React.js

Node.js

LLM infra platforms

Vector stores

Job description

Granola is seeking a self-starting software engineer to apply the latest LLM advances in user-centric products from its London office. You will stay on top of trends, build evaluation frameworks, and rapidly develop features that scale Granola to the next growth milestone.

You will work directly with users to understand needs and ship end-to-end LLM-powered solutions. The role emphasizes in-person collaboration with a cross-functional team and a startup-friendly culture, with relocation