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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 founding team and make a real impact in AI product development.
- Qualifications: Experience with LLMs and a passion for building user-centric solutions.
- Other info: Work in a vibrant office environment with opportunities for personal and professional growth.
The predicted salary is between 42000 - 84000 £ 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
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. 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 England employer: Granola
Contact Detail:
Granola Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ai Engineer in England
✨Tip Number 1
Get to know the company inside out! Before your interview, dive into Granola's mission and products. This will not only help you tailor your answers but also show that you're genuinely interested in what they do.
✨Tip Number 2
Network like a pro! Reach out to current or former employees on LinkedIn. Ask them about their experiences and any tips they might have for you. It’s a great way to get insider info and make a good impression.
✨Tip Number 3
Show off your skills! If you’ve worked on LLM projects, bring examples to the table. Whether it’s a portfolio or a GitHub repo, having tangible proof of your work can set you apart from other candidates.
✨Tip Number 4
Don’t forget to follow up! After your interview, shoot a quick thank-you email to express your appreciation. It’s a simple gesture that keeps you fresh in their minds and shows your enthusiasm for the role.
We think you need these skills to ace Ai Engineer in England
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.
Tailor Your Application: Make sure to customise your application to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our needs, so don’t be shy about showcasing relevant projects!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your ideas effectively. Remember, less is often more!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
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. Be ready to discuss specific examples of how you've applied these technologies in your previous roles, especially in building user-centric products.
✨Showcase Your Building Skills
Prepare to talk about your experience in developing and shipping LLM-based solutions. Highlight any projects where you’ve taken features from concept to production, and be ready to explain your thought process and the challenges you faced.
✨User-Centric Mindset
Since this role involves interacting directly with users, think of examples where you’ve gathered user feedback to inform product development. Be prepared to discuss how you’ve designed solutions based on user needs and how that impacted the final product.
✨Collaborative Spirit
This position requires working closely with a cross-functional team. Share experiences where you’ve collaborated with engineers, product managers, or designers. Emphasise your ability to communicate effectively and contribute to a team environment.
