Summary
✨ AI‑Generated
Join an ambitious product engineering team focused on applying the latest LLM advances to user-centric software. You will own AI features end to end, build evaluation systems for prompt iteration, optimize embeddings and vector stores, engage directly with users, and rapidly turn their needs into valuable features.
Highlights
Work directly on user-focused AI features, own LLM capabilities end to end, build evaluation frameworks, optimize retrieval infrastructure, and collaborate closely with users in a highly autonomous environment.
Description
Hey! We're team Granola 👋
If you haven't already, you should check out what we're building, and why you should work here.
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.
In This Role, You Will
Own the development and application of LLM-based features end-to-endBuild and maintain evaluation frameworks for prompt iteration and semantic retrievalOptimize embeddings and vector stores for performance and scalabilityInteract with users to understand their problems and design solutionsStay up-to-date with the latest trends in LLMs and applied AI practicesCollaborate with a cross-functional team of engineers, product managers, designers, and other members to create a cutting-edge product
Your Background Looks Something Like
Engineering experience at tech and product-driven companiesShipping 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 modelsAre 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 Opportunity
We are living in the most exciting time for tool builders since Engelbart's demo 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.
