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- 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.
- Why this job: Be part of a founding team and make a real impact in AI product development.
- Qualifications: Experience with LLMs, TypeScript, React.js, and a passion for building.
- Other info: Work in a vibrant office environment with opportunities for personal growth.
The predicted salary is between 30000 - 50000 £ 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
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 City of London employer: Granola
Contact Detail:
Granola Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in City of 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 connect your skills with what they’re building and show that you’re genuinely interested in being part of their journey.
✨Tip Number 2
Show off your passion for LLMs! Bring examples of your work or projects where you've applied LLMs. Whether it’s a personal project or something from your previous job, demonstrating your hands-on experience can really set you apart.
✨Tip Number 3
Be ready to chat about user-centric design! Since you'll be interacting directly with users, think of ways you've gathered user feedback in the past and how you’ve used it to improve products. This shows you understand the importance of user needs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re proactive and keen to join the Granola team!
We think you need these skills to ace AI Engineer in City of 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.
Tailor Your Application: Make sure to customise your application to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our needs, so don’t hold back on showcasing relevant projects!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your ideas effectively. Remember, less is often more!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures it gets into the right hands. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Granola
✨Know Your LLMs Inside Out
Make sure you’re up to speed with the latest advancements in large language models. Be prepared to discuss specific examples of how you've applied LLMs in your previous work, and think about how you can leverage them to create user-centric products at Granola.
✨Showcase Your Building Skills
As a builder, it’s crucial to demonstrate your hands-on experience. Bring examples of projects where you’ve developed LLM-based features end-to-end, and be ready to explain your thought process and the challenges you faced during development.
✨Engage with User-Centric Solutions
Granola values understanding user needs, so come prepared with insights on how you’ve interacted with users in the past. Think of specific instances where you gathered feedback and iterated on features based on that input.
✨Embrace the Startup Spirit
Show your enthusiasm for working in a startup environment. Share experiences that highlight your adaptability and willingness to take risks, as well as your passion for being part of a team that’s building something from the ground up.
