At a Glance
- Tasks: Build AI platforms that help software understand itself and improve engineering workflows.
- Company: Join a profitable, remote-first SaaS company trusted by 500 enterprises.
- Benefits: Competitive salary, stock options, and flexible remote work.
- Other info: Collaborate with a small, senior team and influence product direction.
- Why this job: Shape the future of AI in software development and make a real impact.
- Qualifications: 6-7+ years in software engineering with strong backend and API experience.
The predicted salary is between 70000 - 80000 £ per year.
Agentic AI Engineer with a full-stack background. £100,000 - £130,000 + Stock Options + Benefits.
Build the platform that helps AI understand software. AI can write code. The next challenge is helping AI understand how software should be built. We're working with a profitable, product-led SaaS company who is already trusted by 500 enterprise engineering organisations to manage and share design systems. They're now evolving it into an AI-native platform that enables agents to reason over product knowledge, documentation and user interfaces. This isn't about building another chatbot. It's about creating the foundations that allow AI agents to understand complex software systems, keep documentation in sync automatically, and help engineering teams build better products faster.
The Opportunity
As a Senior AI Platform Engineer, you'll be one of the experienced engineers helping shape the company's AI platform. You'll join a cross-functional product squad alongside a Product Manager, Designer and Software Engineers, building production-ready AI capabilities that customers use every day. Current projects include:
- Building agentic workflows that automatically detect changes and keep product documentation up to date.
- Developing AI agents that can reason over large design systems and product knowledge.
- Designing orchestration frameworks for multiple AI agents working together in production.
- Building APIs and platform services that integrate with modern AI tooling.
- Creating scalable infrastructure that enterprise customers can trust.
- Helping establish engineering best practices as the AI platform continues to grow.
This is a hands-on product engineering role where you'll work across architecture, backend services, front-end features and AI systems.
What You'll Bring
We're looking for an experienced product engineer who enjoys solving complex technical problems and isn't afraid to work across the stack:
- Experience building multi-agent orchestration systems in production.
- 6-7+ years building production software.
- Strong backend engineering experience with modern cloud infrastructure (70% backend).
- Experience designing and shipping APIs and distributed systems.
- A pragmatic approach to technology rather than loyalty to one language or framework.
You’ll do well if you:
- Love building products, not just writing code.
- Enjoy speaking with customers and understanding real problems.
- Ask thoughtful questions before jumping to solutions.
- Care about clean engineering and pragmatic decision-making.
- Are happy reviewing both backend and frontend code.
- Have low ego and enjoy collaborating with experienced teammates.
- Like working in startup environments where ownership is high and titles matter less than impact.
Why Join?
- Help build the infrastructure powering the next generation of AI software development.
- Work for a profitable, remote-first SaaS company with an established enterprise customer base.
- Join a small, senior engineering team with significant ownership.
- Influence product direction as well as technical architecture.
- Collaborate with engineers from high-performing technology companies.
- Quarterly company meet-ups with remote-first flexibility.
If you're an experienced full-stack engineer who has recently been building AI products, platforms or agentic systems and you still enjoy shipping customer-facing software, this is an opportunity to help define how enterprise teams build software in the age of AI.
Agent Engineer (ex-Full Stack Engineer) employer: Few&Far
Join a pioneering AI and robotics startup in London as a Founding Engineer, where you'll have the unique opportunity to shape cutting-edge technology from the ground up. With a strong emphasis on collaboration and innovation, this role offers genuine ownership and the chance to work alongside an exceptional founding team, backed by world-class investors. The vibrant work culture fosters personal growth and encourages tackling complex engineering challenges, making it an ideal environment for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Agent Engineer (ex-Full Stack Engineer)
✨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 Few&Far 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 Few&Far.
✨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 Few&Far.
✨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 Few&Far 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 Agent Engineer (ex-Full Stack Engineer)
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 Few&Far.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Few&Far 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 Few&Far
✨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 Few&Far 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.
