Staff AI Engineer

Bot Jobs; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Base salary + equity

Private medical & dental insurance

25 days holiday + bank holidays

London office plus hybrid working

Job summary

Gradient Labs in London is seeking a Staff AI Engineer to lead our AI customer operations platform for financial services. You will build and operate AI agents powering customer support and back-office automation, design end-to-end systems, and ship real-world AI solutions across banking and fintech clients.

Join a team of builders from Monzo, Wise, Revolut and Google, tackling hard AI problems with emphasis on safety, scalability, and measurable business outcomes.

Qualifications

• Professional software engineering experience with a meaningful focus on ML/NLP or applied AI.
• Experience shipping products to real, live customers at meaningful scale.
• Strong product mindset with ability to derive value from vague problems.
• Hands-on experience building with LLMs in production or startups.
• Comfort with ambiguity and ability to break down open-ended problems.
• Strong communication of reasoning, trade-offs, and decisions.
• Pragmatic, tech-agnostic approach to solving problems.

Responsibilities

• Build and operate AI agents in production.
• Translate business problems into agentic workflows.
• Shape product thinking to optimise customer and business value.
• Develop evaluation infrastructure with real-world scenarios and edge cases.
• Enhance agent capabilities by curating datasets and improving prompts and tools.
• Contribute to shared libraries, patterns, and standards for AI platforms.
• Prototype and experiment with latest NLP and agentic systems.
• Analyze data from customer queries to identify automation opportunities.
• Drive technical decisions and scope own work.

Skills

Software engineering

Machine Learning

NLP

Product mindset

LLMs

Communication

Ambiguity tolerance

Job description

Staff AI Engineer

Location: London

Job Type: Full Time

Visa Sponsorship: Not Available

Relocation: Not Allowed

About the job

At Gradient Labs, we're building the AI customer operations platform for financial services.

Founded in 2023, we now work with some of the biggest names in banking and fintech. Our platform runs specialist agents, purpose-built for financial services, to eliminate manual work across customer support and back-office operations. Together, they give product and operations teams the visibility and control to trust every outcome.

We're a team of builders from companies like Monzo, Wise, Revolut and Google. If you're excited to tackle some of the hardest problems in AI and help shape the future of customer operations, we'd love to hear from you.

How you'll make an impact

• Build and operate AI agents in production: Design, implement, and maintain agentic systems powered by LLMs - handling tool calling, multi-step reasoning, and integration with customer APIs and data sources. You'll own these systems end-to-end: reliable, observable, and auditable from day one.
• Translate business problems into agentic workflows: Take on ambiguous, open-ended problems (like ) and turn them into scoped, shippable projects.
• Strong product mindset: Prioritise product thinking over pure ML technique, optimising for customer and business value rather than model performance for its own sake.
• Build robust evaluation infrastructure: Create and maintain eval suites drawn from real-world scenarios and edge cases. Go beyond vibes-based testing: structured evals measuring accuracy, safety, and latency, tied to clear business outcomes, used to drive systematic improvements to prompts, tools, and behaviour.
• Enhance our agent: Develop, evaluate, and optimise the skills that make up our agent. Curate datasets, iterate on improvements, test changes, and ship successful approaches into production.
• Shape our internal AI platform: Contribute to shared libraries, patterns, and standards for how we build, evaluate, and deploy agents across customers. Help define how we approach prompting, tool orchestration, retrieval, and monitoring.
• Experiment and prototype: Keep up with the latest in NLP, agentic systems, and generative AI. Prototype against our hardest problems with a bias toward shipping experiments quickly rather than long research cycles. Our agents already handle tens of thousands of real customer conversations every hour, so your work has immediate, visible impact.
• Analyse data: Work across customer queries, support tickets, and related data to find patterns and identify what our agents could automate next.
• Drive technical decisions: Scope your own work, push back when the framing is wrong, and tell us when the plan needs to change.

What you'll bring

• Professional software engineering experience, with a meaningful focus on Machine Learning, NLP, or applied AI. At this time, we need the ML/applied AI experience as a non-negotiable requirement for this role.
• Experience shipping products to real, live customers, not just internal tools or prototypes, ideally at meaningful scale.
• A strong product mindset - you can take a vague problem, break it down from first principles, and know how to get to a valuable first version. You have a preference for fast iteration over long research cycles.
• Hands-on experience building with LLMs, whether in a previous role, at a startup (even one that didn't work out), or on a small, scrappy team.
• Comfort with ambiguity, and the confidence to say I don't understand and work through it rather than guessing. You can take open-ended problems (like help our agent handle conversations in multiple languages) and turn them into scoped, shippable projects.
• Strong communication skills - you can explain the reasoning and trade-offs behind your decisions, not just describe what you built, you communicate clearly and often, and you flag early when you're stuck.
• A pragmatic, tech-agnostic approach - no specific tech stack required, just good judgement about what's right for the problem.

Why join Gradient Labs?

This is a unique chance to be part of a team working with cutting-edge technology to reshape how businesses will operate in the future. Over the next 10 years, every company will need to embrace AI-powered operations to stay competitive, and this role puts you right in the middle of that transformation.

You'll tackle challenging and new problems, work with some of the most exciting brands across different industries, and be surrounded by a passionate, smart team that's driven to build something groundbreaking.

Benefits & Logistics

• We're still at early stages of building out our compensation bandings, whilst we continue to shape this, we're open to chatting with people who have a range of salary requirements
• Our compensation package has two key components - base salary & meaningful equity
• Private medical & dental insurance
• 25 days holiday + bank holidays (or bank holiday opt out for 32 days holiday)
• Team socials and offsites
• Flexible working - we have an office in central London and a hybrid working approach. This role is open to London based or remote in the UK folks - please note, we'd be looking for the person in this role to be able to come into the London office twice per week

The Interview Process

• 30 mins Talent Screen with our Founding People & Talent
• 45 mins First Stage interview with one of our AI Engineers to talk through a complex AI project you've worked on
• Take Home Task
• 1hr Mid-stage Interview to discuss the take home task you've completed with our Chief Scientist
• 1hr Final Interview focusing on product thinking