Senior AI Engineer - Build Production-Ready AI Agents

Senior AI Engineer - Build Production-Ready AI Agents

Full-Time 81000 - 99000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Build production-ready AI agents for customer operations in financial services.
  • Company: Gradient Labs, a pioneering tech company focused on AI solutions.
  • Benefits: Hybrid work model, competitive salary, and opportunities for rapid experimentation.
  • Other info: Dynamic environment with a focus on solving impactful customer problems.
  • Why this job: Join a team that values innovation and makes a real impact in the industry.
  • Qualifications: Experience in AI engineering and strong communication skills.

The predicted salary is between 81000 - 99000 £ per year.

Gradient Labs is building an AI customer operations platform for financial services.

We craft agentic systems that handle live conversations and back-office tasks at scale, with a focus on reliability, observability, and business value.

We value engineers who ship real products, embrace ambiguity, and communicate decisions clearly.

The team operates in a hybrid London/UK-wide setup, with an emphasis on rapid experimentation and impactful customer problems.

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Senior AI Engineer - Build Production-Ready AI Agents employer: Gradient Labs

At Gradient Labs, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our team is composed of talented individuals from leading tech companies, providing ample opportunities for professional growth and the chance to work on cutting-edge AI technology that directly impacts customer operations in financial services. With flexible working arrangements, competitive compensation packages, and a commitment to employee well-being, we create an environment where every team member can thrive and contribute to groundbreaking solutions.

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Contact Details:

Gradient Labs Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Engineer - Build Production-Ready AI Agents

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Gradient Labs or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Gradient Labs.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Gradient Labs.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Gradient Labs that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Senior AI Engineer - Build Production-Ready AI Agents

AI Development
Natural Language Processing
Machine Learning
Reliability Engineering
Observability
Product Development
Communication Skills

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Gradient Labs.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Gradient Labs and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Gradient Labs

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Gradient Labs uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.