- AI Engineer London, UK

- AI Engineer London, UK

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop and apply LLM-based features while collaborating with a dynamic team.
  • Company: Join Granola, a cutting-edge startup focused on user-centric AI products.
  • Benefits: Enjoy a vibrant office culture in London and the chance to work on groundbreaking technology.
  • Why this job: Be part of a founding team driving significant growth and innovation in AI.
  • Qualifications: 5+ years in engineering with experience in LLMs, TypeScript, React.js, and Node.js.
  • Other info: We value diverse backgrounds and encourage all passionate builders to apply.

The predicted salary is between 43200 - 72000 £ per year.

Harness the latest and greatest in LLMs to make Granola better. 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:

  • 5+ years of relevant engineering experience at tech and product-driven companies.
  • Experience shipping LLM-based solutions to production.
  • Experience with inference and evaluation platforms.
  • Experience with RAG, semantic search, vector stores, embeddings.
  • Experience building features end-to-end with TypeScript, React.js, and Node.js.
  • Ability to thrive in a fast-paced startup environment with evolving requirements and priorities.

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. 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.

- AI Engineer London, UK employer: Job Traffic

Granola is an exceptional employer for AI Engineers, offering a dynamic startup environment in the heart of London where innovation thrives. With a strong focus on employee growth and collaboration, team members are encouraged to take ownership of their projects while working alongside passionate colleagues who value kindness and ambition. The opportunity to work with cutting-edge LLM technology and directly impact product development makes Granola a truly rewarding place to advance your career.
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Contact Detail:

Job Traffic Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land - AI Engineer London, UK

✨Tip Number 1

Stay updated on the latest trends in LLMs and AI technologies. Follow industry leaders on social media, join relevant forums, and participate in discussions to showcase your passion and knowledge during interviews.

✨Tip Number 2

Engage with the community by contributing to open-source projects or writing about your experiences with LLMs. This not only builds your portfolio but also demonstrates your commitment to the field.

✨Tip Number 3

Network with professionals in the AI and tech space, especially those who have experience in startups. Attend meetups, conferences, or webinars to connect with potential colleagues and learn more about the company culture.

✨Tip Number 4

Prepare to discuss specific projects where you've implemented LLM-based solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will highlight your problem-solving skills.

We think you need these skills to ace - AI Engineer London, UK

Expertise in Large Language Models (LLMs)
Experience with TypeScript, React.js, and Node.js
Knowledge of semantic search and vector stores
Proficiency in building end-to-end features
Familiarity with evaluation frameworks for AI features
Understanding of embeddings and their optimisation
Ability to interact with users to gather requirements
Strong problem-solving skills
Experience in a fast-paced startup environment
Collaboration skills for cross-functional teamwork
Passion for staying updated on AI trends
Self-starter with a builder mindset
Adaptability to evolving project requirements

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your relevant experience in AI engineering, particularly with LLMs. Emphasise any projects where you've shipped LLM-based solutions and your familiarity with technologies like TypeScript, React.js, and Node.js.

Craft a Compelling Cover Letter: In your cover letter, express your passion for LLMs and how you stay updated with the latest trends. Mention specific examples of how you've applied your knowledge in previous roles and how you can contribute to Granola's growth.

Showcase Your Problem-Solving Skills: Provide examples in your application that demonstrate your ability to interact with users and design solutions based on their needs. Highlight any experience you have in building evaluation frameworks or optimising performance.

Highlight Your Startup Experience: If you have experience working in a startup environment, make sure to mention it. Discuss how you thrive in fast-paced settings and your adaptability to evolving requirements, as this aligns with Granola's culture.

How to prepare for a job interview at Job Traffic

✨Show Your Passion for LLMs

Make sure to express your enthusiasm for large language models during the interview. Share specific examples of projects you've worked on or trends you've followed in the LLM space. This will demonstrate your genuine interest and commitment to the field.

✨Prepare for Technical Questions

Expect to be asked about your experience with LLM-based solutions, semantic search, and vector stores. Brush up on relevant technologies like TypeScript, React.js, and Node.js, and be ready to discuss how you've applied these in previous roles.

✨Emphasise User-Centric Development

Since the role involves interacting with users, be prepared to discuss how you gather user feedback and incorporate it into your development process. Share examples of how you've designed solutions based on user needs in past projects.

✨Demonstrate Adaptability

Highlight your ability to thrive in a fast-paced startup environment. Share experiences where you've successfully navigated changing priorities or requirements, showcasing your flexibility and problem-solving skills.

- AI Engineer London, UK
Job Traffic
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  • - AI Engineer London, UK

    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-07-11

  • J

    Job Traffic

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