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For Companies At a Glance
- 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 flexible work options, private health insurance, and a beautiful office in Shoreditch.
- Why this job: Be part of a pioneering team shaping the future of AI tools in an exciting startup environment.
- Qualifications: Experience in engineering, LLM solutions, and proficiency in TypeScript, React.js, and Node.js required.
- Other info: Relocation assistance available; we value diverse life experiences.
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
- Optimise 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 LLM-based solutions to production
- Experience with inference and evaluation platforms
- Experience with RAG, semantic search, vector stores, embedding
- 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)
- Value working with people who are kind, ambitious and pragmatic
- Thrive in a fast-paced startup environment with evolving requirements and priorities
- 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)
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. We'll review your application and get back to you within a week.
Flexible, parent-friendly culture. We default to in-person, but feel free to WFH when you need to. A beautiful, light-filled office full of plants and good vibes in Shoreditch. Casa Granola: use our team house in sunny Majorca (yes, you read that right). It's a space for offsites, going deep on a project with a small group, or just inviting friends/family for a holiday. Private health insurance. Free for you, subsidised for your family. Above-market compensation. Competitive salary, a generous option grant on employee-friendly terms, employer pension matching, and 25 days (plus bank holidays) of paid time off.
Product Engineer (AI) London, UK employer: Granola inc
Contact Detail:
Granola inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Engineer (AI) 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 community by attending meetups or conferences focused on AI and LLMs. Networking with professionals in the field can provide valuable insights and potentially lead to referrals. Plus, it shows your commitment to being part of the AI landscape.
✨Tip Number 3
Prepare to discuss your previous projects involving LLMs and how you've applied them in real-world scenarios. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will highlight your hands-on experience and problem-solving skills.
✨Tip Number 4
Showcase your enthusiasm for building user-centric products by sharing examples of how you've interacted with users in past roles. Discuss how you gathered feedback and iterated on features based on user needs, as this aligns perfectly with the role's requirements.
We think you need these skills to ace Product Engineer (AI) London, UK
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Product Engineer (AI) position. Familiarise yourself with LLMs, semantic search, and the technologies mentioned in the job description.
Tailor Your CV: Craft your CV to highlight relevant experience, particularly in engineering roles that involve LLMs and product development. Emphasise any projects where you've built features end-to-end using TypeScript, React.js, or Node.js.
Write a Compelling Cover Letter: In your cover letter, express your passion for AI and LLMs. Share specific examples of how you've applied these technologies in previous roles and how you can contribute to Granola's mission of creating user-centric products.
Showcase Your Enthusiasm: Demonstrate your excitement for working in a startup environment and your eagerness to be part of a founding team. Mention any relevant experiences that showcase your ability to thrive in fast-paced settings and your fascination with LLMs.
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 how you've engaged with LLMs, whether through personal projects or professional experience, to demonstrate your genuine interest in the field.
✨Prepare for Technical Questions
Expect technical questions related to LLMs, semantic search, and vector stores. Brush up on your knowledge of these topics and be ready to discuss your previous experiences with inference and evaluation platforms, as well as any relevant projects you've worked on.
✨Emphasise User-Centric Design
Since the role involves interacting with users to understand their needs, be prepared to discuss how you approach user-centric design. Share examples of how you've gathered user feedback and iterated on features based on that input in your past roles.
✨Demonstrate Your Startup Mindset
Highlight your adaptability and eagerness to thrive in a fast-paced startup environment. Share experiences where you've successfully navigated changing priorities or contributed to building something from the ground up, showcasing your ability to be a builder.
