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- Tasks: Develop and optimise AI agents for customer support, analyse data, and prototype enhancements.
- Company: Gradient Labs is a dynamic startup revolutionising customer service with cutting-edge AI technology.
- Benefits: Enjoy remote work flexibility, weekly team gatherings in London, and fun bonding activities.
- Other info: Competitive salary within the top 5% for seed-stage startups; remote work options available.
- Why this job: Join us to tackle exciting AI challenges and shape the future of customer service.
- Qualifications: Experience in building LLMs and deploying products, with a passion for innovation and experimentation.
The predicted salary is between 43200 - 72000 £ per year.
At Gradient Labs, we’re building an AI agent to redefine customer experience and operational efficiency in the financial services sector .Founded in 2023, we’ve quickly gone from an idea to a growing team with customers you know (and probably love). Our powerful AI agent is unique: it’s the only AI operations agent built specifically for financial services , handling even the trickiest, high-stakes customer queries safely and effectively. Crucially, it serves as one unified agent across the entirety of your customer operations , giving businesses the comprehensive visibility and control they need to trust all outcomes.
We’re a small but mighty team of builders from leading companies like Monzo, Pleo, and Google. If you’re excited to tackle some of the hardest problems in AI and help shape the future of customer operations and experience , we’d love to hear from you.
As an AI Engineer at Gradient Labs, you will…As an AI Engineer at Gradient Labs, you would spend your time doing:
Enhancing our agent: you would 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 : you’d keep up with the latest NLP and generative AI news and releases. You will prototype and experiment to identify opportunities to enhance our platform with the latest state-of-the-art.
Data analysis : you would 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)
QuestionsWhat is the salary?
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.
Where is this role based?
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.
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AI Engineer employer: Gradient Labs
Contact Detail:
Gradient Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in NLP and generative AI. Gradient Labs is looking for someone who can prototype and experiment with cutting-edge techniques, so being well-versed in current trends will give you an edge.
✨Tip Number 2
Showcase your experience with building and deploying LLM products. Highlight any relevant projects or roles where you've successfully taken AI models from concept to production, as this aligns directly with what Gradient Labs is seeking.
✨Tip Number 3
Demonstrate your problem-solving skills by discussing past experiences where you've tackled complex AI challenges. Gradient Labs values persistence and innovation, so sharing specific examples of how you overcame obstacles will resonate well.
✨Tip Number 4
Engage with the AI community and stay active on platforms like GitHub or LinkedIn. Sharing your insights or contributions can help you stand out and show your passion for the field, which is something Gradient Labs appreciates.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the key responsibilities and required skills for the AI Engineer position at Gradient Labs. Tailor your application to highlight your relevant experience in enhancing AI agents and working with LLMs.
Showcase Your Skills: In your CV and cover letter, emphasise your experience with NLP, generative AI, and data analysis. Provide specific examples of projects where you've developed or optimised AI systems, particularly those that demonstrate your ability to work in fast-paced environments.
Personalise Your Application: Address your application to the hiring team at Gradient Labs and express your enthusiasm for their mission to improve customer service through AI. Mention any relevant experiences that align with their values, such as your passion for solving challenging AI problems.
Proofread and Edit: Before submitting your application, thoroughly proofread your documents for any spelling or grammatical errors. Ensure that your writing is clear and concise, reflecting your attention to detail, which is crucial for an AI Engineer role.
How to prepare for a job interview at Gradient Labs
✨Show Your Passion for AI
Make sure to express your enthusiasm for solving challenging AI problems. Gradient Labs is looking for candidates who are excited about pushing boundaries in autonomous agents, so share any relevant projects or experiences that highlight your passion.
✨Demonstrate Your Technical Skills
Be prepared to discuss your experience with building and deploying LLMs, especially using Go. Bring examples of past work where you've enhanced AI capabilities or optimised datasets, as this will showcase your technical expertise.
✨Stay Updated on Industry Trends
Research the latest advancements in NLP and generative AI before the interview. Being able to discuss recent developments and how they could apply to Gradient Labs' mission will show that you are proactive and knowledgeable.
✨Emphasise Your Problem-Solving Mindset
Highlight your persistence and willingness to experiment with ambiguous ideas. Share examples of times when you faced challenges in your work and how you overcame them, as this aligns with the company's values of innovation and resilience.