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- Tasks: Develop and enhance AI agents, analyse data, and prototype innovative solutions.
- Company: Gradient Labs, a dynamic startup revolutionising customer service with AI.
- Benefits: Top-tier salary, remote work options, and fun team socials in London.
- Why this job: Join us to tackle exciting AI challenges and shape the future of customer support.
- Qualifications: Experience with LLMs, strong problem-solving skills, and a passion for innovation.
- Other info: Fast-paced environment with opportunities for growth and collaboration.
The predicted salary is between 28800 - 48000 £ per year.
At Gradient Labs, we are on a mission to make exceptional customer service the norm. Founded in 2023 by a team of technical leaders from Monzo Bank, we have quickly gone from an idea to a growing team with customers you know (and probably love). Our AI agent helps businesses handle even the trickiest, high-stakes customer support queries safely and effectively, all while giving them the visibility and control they need to trust the outcomes.
We are a remote-first team but love getting together in London once a week to collaborate, catch up, and have occasionally been known to become overly competitive during socials (think arcade games or axe throwing). If you are excited to tackle some of the hardest problems in AI and help shape the future of customer service, we would love to hear from you.
As an AI Engineer at Gradient Labs, you will:
- Enhance our agent: develop, evaluate, optimise and add to the skills that make up our agent. This includes preparing and curating datasets, iterating on agent enhancements, testing and evaluation of those changes all the way through to shipping successful approaches into our production platform.
- Experiment and prototype: keep up with the latest NLP and generative AI news and releases. Prototype and experiment to identify opportunities to enhance our platform with the latest state-of-the-art.
- Data analysis: analyse datasets of customer queries, support tickets, and related information to gain insights into patterns and discover areas that our agents could further automate.
We are looking for people who are:
- Excited to push the boundaries of what is possible for autonomous agents that imitate human behaviour.
- Motivated to operate in a fast-paced environment, rather than longer research cycles.
- Can quickly summarise, replicate, and test ideas from research papers.
- Driven more by making an impact on the products they are helping to build than academic research outcomes.
- Can persevere: many ideas you will experiment with will be ambiguous and might fail; a successful person in this role will find the strength to keep trying.
- Comfortable building with LLMs and have experience shipping LLM products to production (ideally have experience using Go).
The final compensation will depend on the relevant skills and experience of the candidate but generally we pay within the top 5% of comparable roles at seed stage startups. Ideally, we are looking for someone who can come into the London office (close to Liverpool Street Station) at least once a week. However, we are open to remote work across the UK if you are able to join the team in person in London once a quarter.
AI Engineer in London employer: Gradient Labs Limited
Contact Detail:
Gradient Labs Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Gradient Labs on LinkedIn. A friendly message can go a long way in getting your foot in the door and showing your genuine interest in the company.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to NLP or generative AI. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on the latest trends in AI and customer service. Being able to discuss recent advancements will impress the team and show that you're passionate about the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Gradient Labs team.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and customer service shine through. We want to see that you're genuinely excited about tackling the challenges in this field and how you can contribute to our mission at Gradient Labs.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight relevant experiences, especially those involving LLMs and data analysis, so we can see how your skills align with what we're looking for.
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. This will help us understand your thought process and how you approach problem-solving.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Gradient Labs Limited
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around NLP and generative AI. Be ready to discuss recent advancements and how they could apply to customer service solutions. This shows you're not just knowledgeable but also genuinely excited about the field.
✨Showcase Your Problem-Solving Skills
Prepare examples of past projects where you tackled complex problems, particularly those involving LLMs or data analysis. Highlight your thought process and how you iterated on your ideas. Gradient Labs values innovation, so demonstrating your ability to experiment and learn from failures will set you apart.
✨Get Familiar with Their Product
Take some time to understand Gradient Labs' AI agent and its functionalities. Think about potential improvements or features you could suggest during the interview. This not only shows your initiative but also your commitment to contributing to their mission of enhancing customer service.
✨Be Ready for a Fast-Paced Environment
Since they're looking for someone who thrives in a fast-paced setting, prepare to discuss how you've managed tight deadlines or rapidly changing project requirements in the past. Share specific instances where you adapted quickly and delivered results, as this aligns with their dynamic work culture.
