Full Stack Engineer

We are an enterprise AI platform designed specifically for technical commercial teams within industrial manufacturing. Our customers produce mission critical components, from transformers to nuclear facility hardware, and rely on our software to navigate multi-million euro project tenders daily.

The business is fully bootstrapped, profitable, and financed entirely through organic revenue and positive cash flow, already supporting over 20 mid-market industrial manufacturers.

The Opportunity

We are searching for an entrepreneurial Full Stack Product Engineer to ideate, architect, and scale the platform end to end. This is not a task-taker position; you will have genuine autonomy across product strategy, backend architecture, cloud infrastructure, and user interface design.

The challenge sits at the intersection of deep engineering and commercial pragmatism: building clean abstractions to onboard complex manufacturers in days rather than months, engineering backends that process vast technical specifications seamlessly, and crafting interfaces that sales teams adopt instantly.

Key Responsibilities

• Architect, ship, and maintain scalable full-stack features from initial scoping through to deployment.
• Design robust Python backends, data models, APIs, and background processing engines built to handle hundreds of pages of complex technical documentation.
• Build responsive, intuitive frontend interfaces with high attention to user experience and interface clarity.
• Take direct ownership of platform infrastructure, cloud environments, CI/CD pipelines, and observability.
• Leverage modern AI coding agents and LLM tooling to increase engineering output and solve high-value product problems.

What We Are Looking For

• Proven track record delivering production software across both the frontend and backend.
• Solid backend engineering foundations in Python, paired with modern frontend capability.
• Hands-on ownership of cloud platforms, environments, and automated deployments.
• High builder energy: past startup experience, commercial side projects, or aspirations to found a business down the line.
• Commercial mindset: someone who builds to deliver tangible customer value rather than code complexity.