Full Stack Founding AI Engineer

We are currently in stealth but we are building an agentic AI &
intelligence platform for sustainability action and decision-making.

Organisations today are drowning in fragmented environmental data - carbon, biodiversity, water, policy, supply chains & more - but still struggle to answer the most important questions:

• What should we do next?
• What’s the impact if we do?
• What’s the return on action - financially and environmentally?

Our startup exists to close that gap.

We are building a workflow and decision making layer on top of sustainability data: AI agents that ingest messy real-world inputs, reason over them, run scenarios, recommend actions, and learn from outcomes over time. All while building up a knowledge and context graph to build the single best view of how the organisation works today.

This is from a team who has worked in the sustainability space for years and have successfully existed a prior business to one of the largest businesses in the world. We’re now taking that learning and building the AI-native version of sustainability consulting.

We’re looking for Founding Full Stack AI Engineers who want to build agentic systems from the ground up. You’ll work at the core of our platform - designing and implementing AI systems that:

• Ingest and structure unstructured sustainability data
• Reason across complex, uncertain domains
• Run simulations and scenario analysis
• Improve continuously via feedback and memory

You’ll have real ownership, real influence on architecture, and direct exposure to customers and domain problems. Our key focus is to take our prototype and turn it into something we start to deploy, test and scale with customers.

• Strong software engineering fundamentals
• 7+ years building full-stack applications
• Proficiency in modern web technologies - ideally in React/Next.js/Type Script
• Experience with backend development using Python
• Comfort working with messy, real-world data
• Clear communicator who can design, architect and explain complex systems
• Use of coding agents to accelerate work (Codex/Claude Code)

• Experience building agentic workflows that are trusted
• Experience with Lang Chain, Lang Graph, or similar
• Experience building with vector databases, embeddings, RAG pipelines
• Experience with graph databases
• Experience building simulation, optimisation, or decision-support systems
• Prior startup or early-stage experience

• Work on problems that actually matter - climate, nature, social
• Build cutting-edge agentic systems
• Strong influence in early key decisions
• Meaningful equity at an early stage
• Work with a passionate team of successful founders