AI Engineer

• 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

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

Hey! We're team Granola 👋

If you haven't already, you should check out what we're building, and why you should work here.

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