Mid/Senior Product Engineer - Fullstack (Python/TS/Vue) in London

I'm working with a rapidly scaling AI product company that is looking for a Product Engineer / Software Engineer to join their engineering team and help shape the next stage of their platform. They're building an AI adoption platform that helps organisations move beyond AI experimentation and actually embed AI into how their teams work. The product helps businesses understand where AI can genuinely improve workflows, build confidence across teams and measure meaningful adoption, rather than simply giving people access to another AI tool.

They've already achieved:

• Strong product-market validation with a growing user base and enterprise customers
• Backing from leading UK technology investors
• A proven platform with significant commercial traction
• Expansion into international markets

For a mid-level or early Senior Product Engineer, this is an opportunity to join at a stage where the product is already validated, but the engineering team is still small enough that you can have genuine influence and continue to grow. The team already has a strong senior engineering foundation in place, so these hires are about adding the next generation of engineers and creating room for progression.

What could you be building?

• Building reliable AI-powered product experiences that help users adopt and get value from AI
• Designing and improving AI workflows, including evaluation, monitoring, tracing and iteration
• Developing personalisation and recommendation systems using individual, team and organisational context
• Solving complex data modelling, permissions and privacy challenges as enterprise adoption grows
• Improving platform architecture, reliability and performance as the user base scales
• Exploring emerging AI capabilities and deciding what creates genuine customer value versus what is simply hype

What makes this Product Engineer role different?

You'll have ownership across the full product lifecycle. As a Product Engineer / Software Engineer, you'll be involved in:

• Understanding customer problems and shaping what should be built
• Working closely with Product and Design to create intuitive user experiences
• Making pragmatic technical decisions across frontend, backend, APIs and data
• Building and shipping customer-facing features that directly impact users
• Improving engineering standards and ways of working as the team grows
• Using AI-native development practices to increase delivery speed without compromising quality

The team is particularly interested in strong up-and-coming engineers, rather than only hiring people who already have years of Senior-level experience. They're looking for someone who is proactive, curious and comfortable learning quickly. Motivation, growth potential and evidence of self-learning are particularly important.

They're looking for a Product Engineer / Software Engineer who:

• Has professional experience building and shipping software across frontend and backend
• Has commercial Python experience and is comfortable working with Python-based backend systems
• Has experience with a modern frontend framework such as Vue, React or Angular
• Enjoys solving ambiguous problems and taking ownership beyond a defined ticket
• Has experience working in a startup or scale-up environment
• Is proactive and comfortable figuring things out independently
• Can demonstrate a genuine interest in learning and developing their technical skills
• Thinks about the user and business outcome alongside the technical solution
• Can make sensible technical trade-offs and communicate decisions clearly
• Is excited about how AI is changing the way engineers build software

Personal projects, side projects or other evidence of learning outside of your day job are particularly interesting.

Tech stack:

• Frontend: Vue 3, TypeScript
• Backend: Python, FastAPI, PostgreSQL
• Cloud & Infrastructure: Azure, GCP, Terraform, GitHub Actions, OpenTelemetry

Python experience is required for these positions. You don't need experience with every technology above. The priority is strong engineering fundamentals, full-stack experience, a willingness to learn and the ability to make good technical decisions.

Why join?

• Real product impact - build features that directly influence how organisations adopt AI.
• Genuine ownership - influence product direction, architecture and engineering practices.
• AI-native environment - work at a company where AI is both the product and part of how the team builds.
• Clear growth opportunity - join alongside other mid-level engineers and grow within an increasingly senior engineering team.
• High-calibre engineering team - learn from experienced engineers while having genuine ownership of your own work.
• £80k-£100k + increased equity offering
• Hybrid setup: 1 day per week in their central London office