💡 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 📝

1. 30 mins Talent Screen with our Founding People & Talent
2. 45 mins First Stage interview with one of our AI Engineers to talk through a complex AI project you've worked on
3. Take Home Task
4. 1hr Mid-stage Interview to discuss the take home task you've completed with our Chief Scientist
5. 1hr Final Interview focusing on product thinking