AI Software Engineer

Gradient Labs; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Private medical insurance

Dental insurance

25 days holiday + bank holidays

Team socials and offsites

Flexible working

London office with hybrid schedule

Job summary

Gradient Labs is building an AI-driven customer operations platform for financial services. We want engineers who can ship practical AI solutions that handle live conversations and automate back-office processes.

You will design prompts, orchestration flows, and evaluation suites, and iterate quickly based on real-world feedback. The role emphasizes a strong product mindset, hands-on work with LLMs, and the ability to translate ambiguous business problems into concrete, scalable AI workflows.

Qualifications

• Professional software engineering experience with ML/NLP/AI is required.
• Experience shipping products to real, live customers at scale preferred.
• Strong product mindset: translate problems into deployable solutions quickly.
• Hands-on experience building with LLMs and integrating tools.
• Comfort with ambiguity and clear, proactive communication.

Responsibilities

• Build and operate AI agents in production, with end-to-end ownership from prompts to tool flows.
• Translate business problems into agentic workflows and scoping projects.
• Influence product decisions with a focus on customer and business value.
• Develop evaluation infrastructure to measure accuracy, safety, and latency.
• Iterate on prompts, tools, and agent capabilities to improve performance.

Skills

ML/NLP/Applied AI experience

Product mindset

Strong communication

Ambiguity tolerance

LLM hands-on

Tools

LLM tooling experience

Job description

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

This is a build-and-ship role. You'll turn ambiguous customer support problems into reliable, observable AI agents that handle live conversations for real users. You'll work close to production - designing prompts and tool flows, building eval suites, shipping changes, watching what breaks, and iterating fast.

• 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 "help our agent handle conversations in multiple languages") 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