AI Engineer

AI Engineer

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop and enhance AI agents, analyse data, and prototype innovative solutions.
  • Company: Gradient Labs, a dynamic startup revolutionising customer service with AI.
  • Benefits: Competitive salary, remote work options, and weekly team meet-ups 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 43200 - 72000 £ per year.

At Gradient Labs, we’re on a mission to make exceptional customer service the norm. Founded in 2023 by a team of technical leaders from Monzo Bank, we’ve 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’re 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.

If you’re excited to tackle some of the hardest problems in AI and help shape the future of customer service, we’d love to hear from you.

As an AI Engineer at Gradient Labs, you will:

  • Enhancing our agent: develop, evaluate, optimise and add to the skills that make up our agent. This includes preparing & curating datasets, iterating on agent enhancements, testing and evaluation of those changes all the way through to shipping successful approaches into our production platform.
  • Experimenting & prototyping: 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’re looking for people who are:

  • Excited to push the boundaries of what’s possible for autonomous agents that imitate human behaviour.
  • Motivated to operate in a fast‑pace 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’re 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 top 5% of comparable roles at seed stage startups. Ideally, we're looking for someone who can come into the London office (close to Liverpool Street Station) at least once a week. However, we're open to remote work across the UK if you're able to join the team in person in London once a quarter.

AI Engineer employer: Gradient Labs Limited

Gradient Labs is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation thrives and employees are encouraged to push the boundaries of AI technology. With a remote-first approach complemented by weekly in-person meet-ups in London, we offer a unique blend of flexibility and team camaraderie, alongside competitive compensation that ranks in the top 5% for seed stage startups. Our commitment to employee growth is evident through hands-on opportunities to tackle challenging problems and make a tangible impact on the future of customer service.
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Contact Detail:

Gradient Labs Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the AI and tech community, especially those connected to Gradient Labs. A friendly chat can open doors that applications alone can't.

✨Tip Number 2

Show off your skills! If you’ve got projects or prototypes related to AI, share them on platforms like GitHub or LinkedIn. This gives us a taste of what you can bring to the table.

✨Tip Number 3

Prepare for the interview by diving deep into our mission and values. Understand how your experience aligns with enhancing customer service through AI, and be ready to discuss it!

✨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, we love seeing candidates who take that extra step.

We think you need these skills to ace AI Engineer

Natural Language Processing (NLP)
Generative AI
Data Analysis
Dataset Preparation
Prototyping
Experimentation
Large Language Models (LLMs)
Software Development
Go Programming Language
Problem-Solving Skills
Adaptability
Collaboration
Impact-Driven Mindset
Resilience

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 excited about tackling tough problems and pushing the boundaries of what's possible with autonomous agents.

Tailor Your Application: Make sure to customise your CV and cover letter to highlight relevant experience and skills that match the job description. We love seeing how your background aligns with our mission at Gradient Labs, so don’t hold back!

Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so summarise your experiences and achievements in a way that’s easy for us to digest. 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 Gradient Labs Limited

✨Know Your Stuff

Make sure you brush up on the latest trends in AI, especially around NLP and generative AI. Familiarise yourself with Gradient Labs' mission and how their AI agent works. Being able to discuss recent advancements or relevant research papers will show your passion and expertise.

✨Showcase Your Projects

Prepare to talk about your previous work with LLMs and any projects where you've shipped products to production. Bring examples of datasets you've curated or enhancements you've made to AI systems. This will help demonstrate your hands-on experience and problem-solving skills.

✨Be Ready to Experiment

Since the role involves prototyping and experimenting, think of a few ideas or concepts you’d like to explore further. Be prepared to discuss how you approach ambiguity and failure in your experiments, as this shows resilience and creativity—qualities that are key for success at Gradient Labs.

✨Cultural Fit Matters

Gradient Labs values collaboration and a bit of fun, so don’t shy away from showing your personality! Share your thoughts on teamwork and how you handle competitive situations, especially during socials. This will help them see how you might fit into their remote-first yet collaborative culture.

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