At a Glance
- Tasks: Develop and optimise LLM-based features while collaborating with a dynamic team.
- Company: Join Granola, an innovative startup at the forefront of AI technology.
- Benefits: Competitive salary, equity options, and relocation assistance for London movers.
- Other info: Work in a vibrant office environment with opportunities for personal and professional growth.
- Why this job: Be part of a pioneering team building cutting-edge products that shape the future.
- Qualifications: Experience in engineering and LLM solutions, with a passion for user-centric design.
The predicted salary is between 36000 - 60000 £ per year.
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.
AI Engineer in London employer: Granola
Granola is an excellent employer for those looking to make a meaningful impact in the audio and transcription technology space. With a vibrant startup culture in London, we foster collaboration and innovation, offering employees opportunities for professional growth and hands-on experience in developing cutting-edge solutions. Our commitment to addressing user needs ensures that every team member plays a vital role in shaping the future of our products.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Get to know the company inside out! Before your interview, dive into Granola's projects and values. This will help you tailor your answers and show that you're genuinely interested in what we do.
✨Tip Number 2
Show off your passion for LLMs! Bring examples of your work or projects that highlight your skills with language models. We love seeing how you think and innovate!
✨Tip Number 3
Be ready to chat about user-centric design. Since you'll be interacting with users, share your thoughts on how to gather feedback and iterate on features. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re serious about joining our team at Granola!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Show Your Passion for LLMs:When writing your application, let your enthusiasm for language models shine through! Share any personal projects or experiences that highlight your fascination with LLMs and how you've engaged with them. We love seeing candidates who are genuinely excited about the technology.
Tailor Your Application:Make sure to customise your application to reflect the specific skills and experiences mentioned in the job description. Highlight your engineering background and any relevant projects you've worked on that align with our needs. This helps us see how you fit into our team!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your experiences and achievements. We appreciate a well-structured application that makes it easy for us to understand your qualifications and what you can bring to Granola.
Apply Through Our Website:We encourage you to submit your application directly through our website. This ensures that your application gets to the right people quickly. Plus, it’s a great way to explore more about what we’re building at Granola!
How to prepare for a job interview at Granola
✨Know Your LLMs
Make sure you’re up to speed with the latest advancements in large language models. Familiarise yourself with different platforms like OpenAI and Anthropic, and be ready to discuss how you've applied these technologies in your previous work.
✨Showcase Your Building Skills
Prepare to talk about specific projects where you’ve built LLM-based features from scratch. Highlight your experience with TypeScript, React.js, and Node.js, and be ready to explain your thought process and the challenges you faced during development.
✨User-Centric Mindset
Granola values understanding user needs, so come prepared with examples of how you’ve interacted with users in the past. Discuss how you gathered feedback and iterated on features to create solutions that truly add value.
✨Startup Spirit
Demonstrate your enthusiasm for working in a startup environment. Share experiences that showcase your adaptability, problem-solving skills, and how you thrive in fast-paced settings. Show them you’re ready to contribute to their zero-to-one phase!
