Backend Engineer

Backend Engineer

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Gradient Labs Limited

At a Glance

  • Tasks: Build and own resilient systems for AI agents, tackling real-world challenges.
  • Company: Gradient Labs, a fast-growing tech startup reshaping customer service with AI.
  • Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
  • Other info: Dynamic environment with exciting challenges and career advancement opportunities.
  • Why this job: Join a passionate team and make a real impact in the AI revolution.
  • Qualifications: Experience in building production software and strong skills in Go and modern backend stacks.

The predicted salary is between 60000 - 80000 £ per year.

At Gradient Labs, we’re on a mission to make exceptional customer service the norm. Founded in 2023, 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 small but mighty team of builders from leading companies like Monzo, Pleo, and Google. We work in a hybrid model from our London office, a short walk from Liverpool Street Station, where we collaborate and connect 2‑3 days a week. 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 isn’t a maintenance role or a feature factory. At Gradient Labs, you will own systems that matter — from the first architectural decision through to production, scale, and everything that breaks along the way.
  • You’ll work on the infrastructure that makes autonomous AI agents actually reliable in the real world. That means building for failure, designing for observability, and shipping with conviction — not waiting for a perfect spec that will never arrive.
  • Build the OS for AI Agents — Contribute to a safe, scalable platform that lets us iterate on autonomous agent capabilities faster than anyone else.
  • Ship Resilient Systems — Design and own systems that hold up under failures, retry storms, and resource starvation — with full observability baked in. Reliability is a baseline, not an aspiration.
  • Take Products from 0 → 1 → Scale — Scope something from scratch, make the early architectural calls, and stay responsible for it as it grows. We build with conviction and we see things through.
  • Move Fast, Ship Often — Iterate in small increments. Multiple deploys a day. Comfort with ambiguity is not optional — it is the job. The mission moves faster than the roadmap.

What you’ll bring

  • Substantial tenure building production software at a fast‑growing company — fintech, AI, consumer tech, or any environment where pace and stakes were both high.
  • Proven experience owning complex, high‑stakes systems end to end — not handing off at merge, but staying accountable through observability, iteration, and scale.
  • Deep fluency in Go (Golang) and comfort operating across a modern backend stack (PostgreSQL, Temporal, GCP, Kubernetes).
  • A product instinct that goes beyond technical elegance — you think from the customer backwards and bring that into every architectural decision.
  • Senior, Staff, Principal or Distinguished level in practice — someone who has operated with real scope and real accountability.
  • Genuine excitement for autonomous AI as a platform shift, not a trend — you want to build the infrastructure that makes agents genuinely reliable.
  • Strong opinions, loosely held — conviction without ego, and always willing to be wrong in pursuit of the right answer.

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.

Backend Engineer employer: Gradient Labs Limited

At Gradient Labs, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to take ownership of their projects and drive meaningful change. Located in the heart of London, our hybrid model promotes collaboration and flexibility, allowing you to work alongside a talented team from renowned companies while tackling some of the most challenging problems in AI. With a focus on personal growth and cutting-edge technology, we offer unique opportunities for professional development and the chance to make a significant impact in reshaping customer operations.

Gradient Labs Limited

Contact Details:

Gradient Labs Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Backend Engineer

Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.

Tip Number 2

Prepare for those interviews by practising common questions and scenarios related to backend engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.

Tip Number 3

Showcase your projects! Whether it's on GitHub or your personal website, having a portfolio of your work can really set you apart. We love seeing real-world applications of your skills!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals ready to tackle challenges head-on.

We think you need these skills to ace Backend Engineer

Go (Golang)
PostgreSQL
Temporal
GCP
Kubernetes
System Design
Observability

Some tips for your application 🫡

Show Your Passion for AI:When you're writing your application, let your excitement for autonomous AI shine through! We want to see how you connect with our mission and why you’re eager to tackle the challenges in this space.

Be Specific About Your Experience:Don’t just list your past roles; tell us about the complex systems you've owned and how you’ve contributed to their success. We love hearing about real-world examples where you’ve made an impact!

Highlight Your Problem-Solving Skills:We’re looking for someone who thrives in ambiguity and can move fast. Share instances where you’ve designed resilient systems or tackled high-stakes problems, and how you approached those challenges.

Apply Through Our Website:Make sure to submit your application through our website! It’s the best way for us to receive your details and get you into our hiring process. We can’t wait to hear from you!

How to prepare for a job interview at Gradient Labs Limited

Know Your Tech Stack

Make sure you’re well-versed in Go (Golang) and the modern backend stack mentioned in the job description. Brush up on PostgreSQL, Temporal, GCP, and Kubernetes. Be ready to discuss how you've used these technologies in past projects and how they can apply to building resilient systems.

Showcase Your Problem-Solving Skills

Prepare examples of complex systems you've owned from start to finish. Highlight your experience with designing for failure and observability. Gradient Labs is looking for someone who can tackle high-stakes challenges, so be ready to share how you’ve navigated ambiguity and made architectural decisions under pressure.

Emphasise Your Product Instinct

Demonstrate that you think from the customer’s perspective. Discuss how your technical decisions have been influenced by user needs and how you’ve iterated on products based on feedback. This will show that you understand the importance of building reliable systems that truly serve users.

Be Ready to Iterate

Since the role involves moving fast and shipping often, prepare to talk about your experience with rapid iteration and deployment. Share specific instances where you’ve deployed multiple times a day and how you handled any challenges that arose. This will illustrate your comfort with a dynamic work environment.