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- 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 environment in London and the thrill of startup culture.
- 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 welcome diverse backgrounds and experiences; passion is key!
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: Granola inc
Contact Detail:
Granola inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land - AI Engineer London, UK
✨Tip Number 1
Familiarise yourself with the latest advancements in LLMs and AI technologies. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with the AI community by attending meetups, webinars, or conferences focused on LLMs and AI applications. Networking with professionals in the field can provide valuable insights and potentially lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 3
Showcase your hands-on experience with LLMs by working on personal projects or contributing to open-source initiatives. Having tangible examples of your work will set you apart from other candidates and demonstrate your ability to apply theoretical knowledge in practical scenarios.
✨Tip Number 4
Prepare to discuss user-centric design in your interviews. Think about how you would approach understanding user needs and translating them into AI features. Being able to articulate your thought process on this will highlight your alignment with the company's focus on creating value for users.
We think you need these skills to ace - AI Engineer London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant engineering experience, particularly in LLM-based solutions. Emphasise your skills with TypeScript, React.js, and Node.js, as well as any experience in fast-paced startup environments.
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 projects or experiences that demonstrate your ability to build user-centric products and interact with users effectively.
Showcase Your Projects: If possible, include links to projects or portfolios that showcase your work with LLMs, semantic search, or any relevant AI features. This will give the hiring team a clear view of your capabilities and creativity.
Highlight Your Teamwork Skills: Since collaboration is key in this role, make sure to mention any experience working in cross-functional teams. Share examples of how you've successfully collaborated with engineers, product managers, and designers to deliver impactful products.
How to prepare for a job interview at Granola inc
✨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, inference platforms, and semantic search. Brush up on relevant technologies like TypeScript, React.js, and Node.js, and be ready to discuss how you've applied them in previous roles.
✨Emphasise User-Centric Development
Since this role involves interacting with users to understand their needs, be prepared to discuss how you’ve gathered user feedback in the past and how it influenced your development process. Highlight any experience you have in building features that deliver real value to users.
✨Demonstrate Your Startup Mindset
The company values candidates who thrive in fast-paced environments. Share experiences where you've adapted to changing priorities or taken initiative in a startup setting. This will show that you're not just a builder, but also someone who can navigate the challenges of a growing company.
