We’re looking for a Front-end Engineer who’s excited to help define how people at the world’s largest companies work with AI day to day. At Magentic, you’ll shape the core product experience for enterprise users as they collaborate with AI agents that operate in real time to achieve things they currently can’t imagine are possible.
You want to work at the cutting edge of human-computer interaction.
We’re pushing the boundaries of AI with next-generation agentic systems that can manage entire procurement workflows. Our mission is to make global manufacturing supply chains robust to an ever-changing world - that’s a $3tn market opportunity.
If that’s not exciting enough - we’re backed by world-class investors including Sequoia Capital, and you’d be working along a super talented team which brings together expertise from OpenAI, Meta, Revolut, NASA and McKinsey (and that’s just the first 11 people!).
What You’ll Do
Own the development of new user-facing features
Interact with users to understand their problems
Make complex AI workflows feel easy and enjoyable for non-technical users
Collaborate with a cross-functional team to continually increase the impact of our product
Help maintain a robust, scalable design system using React and Tailwind
You Might Be a Great Fit if You
Have 6+ years of professional software-engineering experience
Are fluent TypeScript/JavaScript (we use React)
Have experience building products powered by LLMs
Can communicate clearly with both engineers and business stakeholders
Thrive in an early-stage, high-ownership environment: prototype today, deploy tomorrow, iterate next week
Bonus Points
Comfortable moving between product thinking, interaction design, and frontend implementation
Familiarity with supply-chain, procurement, or manufacturing domains
Comfortable with Python
Compensation and Benefits
At Magentic, we recognise and reward the talent that drives our success. We offer:
Competitive Equity: play a real part in Magentic’s upside
A salary of £110,000-£120,000
Enhanced parental leave
25 days holiday exc bank holidays, plus an extra day for our Christmas shutdown
In-office lunches provided
Monthly organised socials and an additional flexible monthly social budget for team lunches, coffees, dinners, or activities with colleagues
Salary sacrifice pension and nursery schemes
Hybrid London HQ (WFH Thurs and every other Tues, with flex if you have appointments etc)
Annual team retreat—a fully-funded off-site to recharge, bond, and build
Equal Opportunities and Accommodations Statement
At Magentic, our mission is to build AI that helps solve some of the world's most complex real world problems. We believe building a diverse workforce will be the key to solving this for our customers.
Magentic is committed to creating a truly inclusive team and we’re proud to be an equal-opportunity employer. As we grow, we're intentional about building teams with a broad range of backgrounds, experiences and viewpoints, recognising that this leads to better ideas, stronger collaboration and better outcomes for our customers therefore we strongly encourage applications from all backgrounds and cultures to apply.
We recognise that some groups remain underrepresented within the industry and are committed to creating an environment that celebrates and supports everyone.
Everyone works differently, and we want to ensure our interview process gives you the best chance to show us what you can do. If you require any reasonable adjustments or accommodations, please let us know and we'll work with you to make the process accessible.
Our interview process
We can move quickly through these stages, so let us know if you have any timelines we need to meet.
Initial call (30 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about how your experience aligns with the role.
Take-home task (45 mins): we'll give you an exercise to demonstrate the key skills for the role.
Paired programming interview (45 mins): we'll give you an exercise to demonstrate the key skills for the role.
In-person interview: for the final step, we invite you to come meet the team in-person and work alongside us! We find this is the best way for candidates to get a sense of what working at Magentic is like. This will include a culture interview, a founder interview and skills-based interview(s) with the team.
Responsible AI Statement
At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission.
