At a Glance
- Tasks: Develop and enhance AI agents for customer experience in finance.
- Company: Gradient Labs, a fast-growing AI startup redefining financial services.
- Benefits: Top-tier salary, flexible remote work, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on impactful projects and career advancement.
- Why this job: Join a dynamic team tackling exciting AI challenges and shaping the future of customer operations.
- Qualifications: Experience with LLMs and a passion for innovative AI solutions.
The predicted salary is between 60000 - 80000 £ 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 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-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.
Member of Technical Staff employer: Gradient Labs
At Gradient Labs, we pride ourselves on being an innovative employer that fosters a dynamic and collaborative work culture. Our team is composed of talented individuals from top tech companies, providing a unique opportunity for professional growth and development in the rapidly evolving field of AI. With competitive compensation and the flexibility of remote work options, we empower our employees to make a meaningful impact while enjoying a supportive environment in the heart of London.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Gradient Labs. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Member of Technical Staff
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Gradient Labs.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Gradient Labs's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Gradient Labs
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Gradient Labs.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Gradient Labs will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Gradient Labs employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
