AI Engineer

Role Summary

Hey! We're team Granola 👋

If you haven't already, you should check out what we're building https://www.granola.ai/, and why you should work here https://www.granola.ai/jobs.

We are looking for a self-starting engineer, passionate about applying the latest advancements in LLMs to create user-centric products.

In this role, you will stay on top of the latest LLM trends, build evaluation frameworks for AI features, and apply your knowledge with a product-oriented focus. You will be an integral part of the founding team, interacting directly with users to understand their needs and rapidly developing features that deliver significant value. Your work will be pivotal in scaling Granola to its next 100x growth milestone.

• 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

We are living in the most exciting time for tool builders since Engelbart's demo https://en.wikipedia.org/wiki/The_Mother_of_All_Demos in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity.

We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us.

Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

Requirements

Your background looks something like

• 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 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

As a person, you…

• Are first and foremost a builder.
• Are excited to work in-person from our office in London (most of the time)
• Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase)
• Want to be at the cutting edge of building world-class products on top of language models
• Are fascinated by LLMs. You love to play with them, figure out what makes them tick and get them to do what you want. You scour the web and reddit for others doing the same (you probably follow @goodside on twitter)
• Value working with people who are kind, ambitious and pragmatic

About the Company

We’re Team Granola 👋, building tools that help humans think and work better.

What began as an AI notepad for back-to-back meetings has become a shared team workspace and second brain. Granola spreads organically inside companies, often starting with a senior leader and quickly cascading across teams.

Today, Granola is used at many of the world’s top and fastest-growing companies like Vercel, Cursor, Lovable, Decagon as well as leading technology companies like Salesforce and Doordash.

Designed and built in London, Granola now serves a predominantly US customer base. To support that growth, we’ve opened a San Francisco office as the hub for our North American go-to-market efforts.