AI Engineer London

Granola inc

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Relocation assistance
Competitive salary
Equity options

Job summary

A leading tech startup in London is searching for a passionate engineer to develop and apply LLM-based features. The role involves collaborating with a cross-functional team and interacting with users to create user-centric products. Candidates should have engineering experience, a strong background in LLM solutions, and proficiency in TypeScript and React.js. The position offers competitive compensation, relocation assistance, and a vibrant startup environment, fostering creativity and innovation.

Qualifications

  • Engineering experience at tech and product-driven companies.
  • Experience in shipping multi-provider LLM-based solutions to production.
  • Proficiency with LLM infrastructure platforms.
  • Experience designing large-context LLM systems.
  • Proficiency 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.
  • Optimize embeddings and vector stores for performance.
  • Interact with users to understand their problems.
  • Stay up-to-date with the latest trends in LLMs.
  • Collaborate with a cross-functional team to create a product.

Skills

Engineering experience at tech companies
Shipping multi-provider LLM-based solutions
Proficiency with LLM infra platforms
Experience designing large-context LLM systems
Building features with TypeScript, React.js, Node.js
Node.js

Tools

OpenAI
Anthropic
Google

Job description

Hey! We're team Granola 👋

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.

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