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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: Above-market 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 with LLMs, TypeScript, React.js, and 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 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 in Slough employer: Granola
Contact Detail:
Granola Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Slough
✨Tip Number 1
Get to know the company inside out! Before your interview, dive into Granola's projects and values. This will help you tailor your answers and show that you're genuinely interested in what they do.
✨Tip Number 2
Show off your passion for LLMs! Bring examples of your previous work with language models to the table. Whether it's a project or a cool experiment, let them see your enthusiasm and expertise.
✨Tip Number 3
Be ready to discuss user-centric design! Since you'll be interacting with users, think about how you've gathered feedback in the past and how it shaped your projects. This will highlight your ability to create value.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace AI Engineer in Slough
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 that demonstrate your ability to build user-centric products. We want to see how you can contribute to 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 see your qualifications at a glance.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Granola!
How to prepare for a job interview at Granola
✨Know Your LLMs
Make sure you’re up to speed with the latest advancements in large language models. Brush up on recent trends, tools, and frameworks that are shaping the industry. Being able to discuss these topics confidently will show your passion and commitment to the role.
✨Showcase Your Building Skills
Prepare to talk about your previous projects where you’ve built LLM-based solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving abilities.
✨User-Centric Mindset
Since this role involves interacting with users, think of examples where you’ve gathered user feedback to improve a product. Highlight how you translated user needs into actionable features. This will illustrate your ability to create user-centric products.
✨Collaborative Spirit
Emphasise your experience working in cross-functional teams. Share stories that showcase your ability to collaborate with engineers, product managers, and designers. This will highlight your team-oriented approach, which is crucial in a startup environment.
