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- Tasks: Develop and optimise LLM-based features while collaborating with a dynamic team.
- Company: Join Granola, an innovative startup in London focused on cutting-edge AI products.
- Benefits: Competitive salary, equity options, relocation assistance, and a vibrant office environment.
- Why this job: Be part of a founding team and make a real impact in the AI space.
- Qualifications: Experience with LLMs, TypeScript, React.js, and a passion for building user-centric solutions.
- Other info: Work in a collaborative, startup culture with opportunities for personal and professional growth.
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 London employer: Granola inc
Contact Detail:
Granola inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Granola. A personal introduction can make all the difference in getting your foot in the door.
✨Tip Number 2
Show off your passion for LLMs! When you get the chance to chat with someone from the team, share your latest projects or experiments with language models. This will demonstrate your enthusiasm and expertise.
✨Tip Number 3
Prepare for technical interviews by brushing up on your skills with TypeScript, React.js, and Node.js. Practice coding challenges and be ready to discuss your previous projects in detail, especially those involving LLMs.
✨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 genuinely interested in joining the Granola team.
We think you need these skills to ace AI Engineer London
Some tips for your application 🫡
Show Your Passion for LLMs: When you're 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 tech!
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 Yourself: We want to get to know the real you! Don’t be afraid to inject a bit of your personality into your application. Whether it’s your unique approach to problem-solving or your passion for building, let us see what makes you tick. We value authenticity!
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It streamlines the process for us and ensures your application lands in the right hands. Plus, it shows you're keen to join our Granola team!
How to prepare for a job interview at Granola inc
✨Know Your LLMs
Make sure you brush up on the latest advancements in large language models (LLMs). Be ready to discuss specific examples of how you've applied these technologies in your previous roles. Showing that you're not just familiar with LLMs but also passionate about them will definitely impress the interviewers.
✨Showcase Your Building Skills
Since this role is all about building user-centric products, come prepared with examples of projects where you've taken ownership from start to finish. Highlight your experience with TypeScript, React.js, and Node.js, and be ready to explain how you tackled challenges during development.
✨User Interaction Insights
Granola values understanding user needs, so think of instances where you've interacted with users to gather feedback or solve problems. Prepare to share how you translated user insights into actionable features, as this will demonstrate your product-oriented focus.
✨Embrace the Startup Spirit
This role is perfect for someone who thrives in a startup environment. Be ready to discuss your experiences in fast-paced settings and how you adapt to change. Show enthusiasm for being part of a founding team and your eagerness to contribute to Granola's growth journey.
