Gradient Labs
About the Company
We are building an autonomous AI agent aiming to resolve up to 80% of customer queries (incl. using actions and account data), enabling companies to scale CX with minimal human staff. The product caters to companies that aim to offer exceptional customer support and want a guarantee of good customer outcomes rather than a "best effort" automation.
Listed Jobs
- Company Name
- Gradient Labs
- Job Title
- AI Research Engineer
- Job Description
-
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 (think arcade games or axe throwing ).
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 Research Engineer at Gradient Labs, you will…
As an AI Research Engineer at Gradient Labs, you would spend your time doing:
Research & prototyping: you’d keep abreast of the latest NLP and generative AI research and developments in both open-source and proprietary LLMs. You will prototype and experiment with the newest research findings to identify opportunities to enhance our platform with the latest state-of-the-art.
Optimisation: you would develop, evaluate, and optimise the prompts and models that underlie our agents’ skills and chains. This includes contributing to defining and building the evaluation methodologies we’ll need — from preparing & curating datasets through to shipping successful approaches into our platform.
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)
Questions
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.
London, United Kingdom
Hybrid
12-03-2025
- Company Name
- Gradient Labs
- Job Title
- Backend Engineer
- Job Description
-
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 (think arcade games or axe throwing ).
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.
Our tech stack
We choose technology that enables us to build resilient systems and iterate on them quickly. This includes a blend of "boring" familiar tools like Go and PostgreSQL, and some calculated bets like Temporal and Encore.
Our backend is deployed to Google Cloud Platform. Our frontend is build with Next.js and deployed to Vercel. We currently use LLMs from OpenAI and Anthropic but are planning to expand to a blend of models in the future.
As a Backend Engineer, you will…
Have the opportunity to contribute to an “operating system” for future AI agents which is safe, scalable and allows us improve the capabilities of those agents faster than any other company out there.
Build resilient and observable systems that deliver great user experiences in the face of failures, retry storms, resource starvation, and other turbulent conditions.
Ship early and often.
We’re looking for people who…
Are excited to push the boundaries of what’s possible for autonomous AI agents that imitate human behaviour
Are keen to be one of the foundational cornerstone engineers for the company for the years to come
Believe that almost anything is possible if you just work hard enough on it and are excited by greenfield projects rather than being demotivated by the ambiguity
Motivated to operate in a fast-paced, early-stage company environment where we ship multiple times a day
Have demonstrated experience building complex performant systems iteratively - for example, as a Staff Engineer at a tech scale-up
Have “strong opinions, loosely held”
Questions
What is the salary?
The final compensation will depend on the relevant skills and experience of the candidate but generally we pay within top 10% 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.
London, United Kingdom
Hybrid
12-03-2025