At a Glance
- Tasks: Build innovative AI tools that developers and creators love to use.
- Company: Join a fast-paced tech company focused on generative AI solutions.
- Benefits: Enjoy 25 days annual leave, stock options, and remote work flexibility.
- Other info: Work in a high-trust environment with great career growth opportunities.
- Why this job: Make a real impact by creating user-friendly AI products.
- Qualifications: Experience in full-stack development and AI-native tools.
The predicted salary is between 63000 - 77000 £ per year.
Build the products developers and creators actually want to use.
At each::labs, we're building tools that make generative AI accessible and useful for developers, creators, and businesses. We move fast, experiment continuously, and care about turning powerful technology into products people genuinely want to use.
We're looking for a product-minded engineer who uses AI as a core part of how they build, thinks beyond implementation, and takes ownership from identifying a problem to measuring its impact.
What you'll do:
- Build products end-to-end: Turn user problems into intuitive, reliable experiences, from backend services and APIs to frontend interfaces.
- Develop AI-first: Use coding agents such as Claude Code and Codex to accelerate development, automate workflows, and improve how software is built, tested, and maintained.
- Build for developers and creators: Develop APIs, integrations, workflows, and creative tools that make complex AI capabilities simple to use.
- Own the user experience: Understand how people use our products through feedback, PostHog analytics, and behavioral data. Identify friction, experiment, and continuously improve.
- Think in outcomes: Challenge assumptions, prioritize meaningful problems, and measure success through adoption, usability, reliability, and business impact.
- Ship and operate: Own features through deployment, monitoring, iteration, and production support.
- Improve how we build: Experiment with agentic workflows, automation, and engineering practices that help the entire team deliver better software.
What we're looking for:
- Strong product engineering mindset: You care about why something should exist, who it's for, and whether it solves the problem.
- Full-stack capabilities: Solid experience with Go, React, TypeScript, PostgreSQL, and modern API development.
- AI-native development experience: Practical use of Claude Code, Codex, or similar coding agents beyond basic code generation. You know how to delegate, verify, and integrate AI-generated work.
- Strong engineering fundamentals: You can design maintainable systems, reason about trade-offs, test effectively, and debug production issues.
- User-driven decision-making: Experience using product analytics, experimentation, and customer feedback to guide improvements.
- Ownership and autonomy: Comfortable with ambiguity, rapid iteration, and taking responsibility for results.
- Clear communication: You collaborate effectively across engineering, product, and business.
Experience with AWS, distributed systems, observability, and developer platforms is a plus.
What matters here:
- Problems over tools. Technology is a means to solve something valuable.
- Outcomes over output. Shipping code isn't success unless it creates value.
- AI as leverage. We expect you to rethink how software is developed, not simply type faster.
- Experience matters. Great functionality should also be intuitive and enjoyable.
- Ownership end-to-end. Understand the problem, build the solution, measure the result, and improve it.
What we offer:
- 25 days of annual leave, plus local public holidays.
- 5-day carryover within the first three months of the following year.
- Stock options with a 1-year cliff and 4-year vesting.
- Annual salary reviews and a company-wide MRR-linked bonus scheme after six months.
- Remote-first, ideally GMT+0 to GMT+4.
- A high-trust, high-ownership environment with minimal bureaucracy, no micromanagement, and real influence over the product.
Product Engineer — AI-Native Full Stack in London employer: Eachlabs, Inc.
Eachlabs, Inc. provides a dynamic work environment where employees can innovate and develop AI-powered tools. The company's focus on ownership and outcomes allows for significant professional growth and the chance to work on impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Product Engineer — AI-Native Full Stack in London
✨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 Eachlabs, Inc. 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 Eachlabs, Inc..
✨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 Eachlabs, Inc..
✨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 Eachlabs, Inc. 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 Product Engineer — AI-Native Full Stack in London
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 Eachlabs, Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Eachlabs, Inc. 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 Eachlabs, Inc.
✨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 Eachlabs, Inc. 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.
