Before you apply
Listed location: London
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
Job description supplied by Granola; category and skill labels may be inferred. How our listings work · Report a problem
Job Description
Hey! We're team Granola 👋 Â
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-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
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 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.
Skills mentioned
Categories
Frequently asked questions
Is the AI Engineer position at Granola remote?
The AI Engineer role at Granola does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the AI Engineer role?
Granola is hiring for a full-time AI Engineer position.
Which skills are mentioned for the AI Engineer job at Granola?
Detected skill labels include TypeScript, React, LLM, RAG. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the AI Engineer position at Granola?
You can apply for the AI Engineer role directly through Granola's official application link provided on this page.
Similar AI jobs
Robotics Autonomy Engineer (Federal)
Field AI · fulltime
Strategic Account Director - Mexico City
Decagon · fulltime
Principal Engineer, AI Security
Lila Sciences · fulltime
Head of Marketing Strategy & Operations
Replit · fulltime
Senior ML Systems Engineer, Inference
Runpod · fulltime
L3 Support Engineer, Data Center Infrastructure
Nebius · fulltime