Founding Full Stack Engineer REMOTE

We’re hiring on behalf of an early-stage, product-led SaaS company building a collaboration and content-management platform for a global customer base.

The product is live, the company is generating revenue and the team is entering its next stage of development.

We are not looking for a traditional Full-Stack Engineer who waits for tickets and works within a narrowly defined part of the stack.

We’re looking for an AI Product/Full Stack Engineer who can take a customer or business problem from idea → prototype → production.

You’ll work closely with the company’s technical and product leadership, take meaningful ownership of what gets built and help define how a modern AI-native engineering team should operate.

Remote-first and UK-based, with occasional team meetings in London

Candidates must have the right to work in the UK

Employee share options are available

This role sits across product, UX and engineering.

You won’t simply receive fully specified tickets. You’ll be expected to understand the problem, question assumptions, explore possible solutions and use modern AI tools to move quickly from concept to working product.

You should naturally use tools such as:

• ChatGPT
• Cursor
• Codex
• Lovable
• MCP tools and agents
• Other emerging AI development platforms

We don’t want someone who has recently added an AI certification to an otherwise conventional engineering profile.

We want someone already using AI every day to research, prototype, build, test, debug and ship better products.

• Take customer and business problems from initial idea through to production.
• Build and ship customer-facing features across the product.
• Rapidly prototype potential solutions before committing to a full implementation.
• Work across product thinking, UX, frontend, backend and cloud infrastructure.
• Use AI coding agents and copilots throughout discovery, implementation, testing and debugging.
• Build AI-powered features, agents, integrations and internal workflows where they create genuine value.
• Translate incomplete or ambiguous requirements into practical product decisions.
• Speak with product, commercial and technical colleagues to understand what should be built and why.
• Test ideas with users and use feedback, data and experiments to improve them.
• Take responsibility for code quality, security and maintainability, including when code has been AI-generated.
• Contribute to architecture, AWS services, delivery pipelines and engineering practices.
• Help shape how the company uses AI across product development.

You do not need to match every technology perfectly, but you must be comfortable learning quickly and working across a modern product stack.

• Frontend: React and Tailwind CSS
• Backend: Python and Django
• Cloud: AWS, including Lambda, S3, Cognito and API Gateway
• Delivery: Git Hub Actions, infrastructure as code, containerisation and CI/CD
• AI development: Coding agents, LLM APIs, MCP tools and rapid prototyping platforms

Experience with Next.js, serverless systems or equivalent modern technologies is also relevant.

We care more about what you have built, how quickly you learn and how you approach problems than a specific number of years in engineering.

• Evidence of taking products or substantial features from idea to production.
• AI tools embedded into your normal development workflow.
• Strong product judgement and an understanding of customer and commercial outcomes.
• The ability to work across product, UX and engineering rather than remaining within one narrow specialism.
• Experience building modern web applications using technologies such as React, Python, Django, Next.js or comparable frameworks.
• Experience working…