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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 pioneering team building cutting-edge products that shape the future.
- Qualifications: Experience in engineering and LLM solutions, with a passion for user-centric design.
- Other info: Work in a vibrant office environment with opportunities for personal and professional growth.
The predicted salary is between 28800 - 48000 £ 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
Get to know the company inside out! Research GranolaCheck, their products, and their culture. This way, when you get that interview, you can show off your enthusiasm and understanding of what they do.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry meetups. A friendly chat can sometimes lead to a referral, which is a golden ticket in the job hunt!
✨Tip Number 3
Prepare for technical interviews by brushing up on your skills. Practice coding challenges and be ready to discuss your past projects, especially those involving LLMs. Show them you’re not just a builder, but a passionate one!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the GranolaCheck team.
We think you need these skills to ace AI Engineer 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 place and allows us to process it efficiently. Plus, it shows us that you're keen on joining our team!
How to prepare for a job interview at Granola inc
✨Know Your LLMs
Make sure you’re up to speed with the latest advancements in large language models. Be ready to discuss specific examples of how you've applied LLMs in your previous work, and don’t shy away from sharing your thoughts on emerging trends.
✨Showcase Your Building Skills
Prepare to talk about your experience in building features end-to-end, especially using TypeScript, React.js, and Node.js. Bring along examples or a portfolio that highlights your best work, as this will demonstrate your hands-on capabilities.
✨User-Centric Mindset
Since this role involves interacting directly with users, be prepared to discuss how you’ve gathered user feedback in the past and how it influenced your product decisions. Show that you understand the importance of creating user-centric solutions.
✨Startup Spirit
Emphasise your passion for working in a startup environment. Share any experiences you have from previous roles where you thrived in fast-paced settings, and express your excitement about being part of a founding team that’s building something innovative.
