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Fullstack Engineer

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Summary

Build AI-powered products and internal systems end-to-end at a fast-paced London startup — owning architecture, development, and deployment while automating workflows and embedding AI/LLM-driven processes across the business. Core areas: APIs, databases, cloud infrastructure, and AI/agentic technologies.

Overview

As a Full Stack Engineer, you will build AI-powered products and internal systems from concept to deployment. You will identify opportunities to automate workflows, improve efficiency, and enable better decision-making across the business. You’ll work with a senior engineering team to shape how AI is embedded across the organization, delivering end-to-end solutions in a fast-paced startup. This role offers high ownership, cross-functional collaboration, and the chance to work on scalable AI-driven processes that impact real-world operations. You will contribute to a mission-driven environment where rapid iteration and impactful outcomes matter.

Pay / Benefits
  • High ownership from day one
  • Small, highly experienced engineering team
  • End-to-end responsibility and influence on product direction
  • Fast-moving environment with rapid decision-making and deployment cycles
  • Opportunity to shape how AI transforms business operations at scale
Responsibilities
  • Build AI-powered products, tools, and internal systems from concept to deployment
  • Identify opportunities to automate workflows and improve operational efficiency
  • Design and implement intelligent automations, integrations, and AI-driven processes
  • Collaborate with stakeholders across multiple business functions to solve real-world problems
  • Translate business challenges into scalable technical solutions
  • Own end-to-end delivery, including architecture, development, deployment, and iteration
Key requirements
  • Experience in Backend, Full Stack, Platform, or AI-focused software engineering
  • Strong software engineering fundamentals
  • Experience with APIs, databases, cloud infrastructure, and modern development tools
  • Exposure to AI, LLM, agentic systems, automation platforms, or related technologies
  • Proven track record of shipping production software
  • Strong ownership mentality and ability to thrive in ambiguous environments
  • Comfortable working independently in a fast-paced startup setting
  • Strong communication skills with both technical and non-technical stakeholders
  • Ownership mindset
  • Strong communication
  • Independent working style
  • APIs
  • Databases
  • Cloud infrastructure

Skills

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See also

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