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- Tasks: Enhance AI agents, experiment with cutting-edge tech, and analyse customer data for insights.
- Company: Gradient Labs, a dynamic startup redefining AI in financial services.
- Benefits: Top-tier salary, flexible remote work, and opportunities for impactful contributions.
- Other info: Fast-paced environment with excellent growth potential and a collaborative culture.
- Why this job: Join a passionate team tackling real-world AI challenges and shaping customer experiences.
- Qualifications: Experience with LLMs, strong problem-solving skills, and a drive to innovate.
The predicted salary is between 28800 - 48000 £ 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…
- 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-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’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).
What 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.
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
Network like a pro! Reach out to people in the industry, especially those at Gradient Labs or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and NLP. This is your chance to demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for interviews by diving deep into Gradient Labs' mission and products. Understand their AI agent and think of ways you could contribute. Tailoring your answers to their specific needs will make you stand out.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our team at Gradient Labs.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and customer experience 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 to highlight relevant experiences and skills that align with the AI Engineer role. Mention any specific projects or technologies you've worked with that relate to enhancing AI agents or working with LLMs.
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 us that you’re proactive and keen to join our team!
How to prepare for a job interview at Gradient Labs
✨Know Your AI Stuff
Make sure you brush up on the latest trends in NLP and generative AI. Gradient Labs is all about pushing boundaries, so be ready to discuss recent advancements and how they could apply to their unique AI agent.
✨Showcase Your Problem-Solving Skills
Prepare examples of past projects where you tackled complex problems, especially those involving LLMs. Highlight your ability to iterate and improve upon ideas, as this role requires a lot of experimentation and resilience.
✨Understand the Financial Services Sector
Since Gradient Labs focuses on financial services, it’s crucial to understand the specific challenges and customer queries in this sector. Research common issues faced by customers and think about how an AI agent can address them.
✨Be Ready to Discuss Data Analysis
Familiarise yourself with data analysis techniques relevant to customer queries and support tickets. Be prepared to talk about how you would analyse datasets to identify patterns and opportunities for automation in their AI operations.