Join annwn where we are reimagining how sustainability work gets done using AI. We're focussed on bringing multi-agent workflows, hybrid data models and decision intelligence to solve urgent sustainability issues. Come and work with us to make a real difference and work with cutting edge technologies.
Our team is formed of four co-founders who have successfully exited in the sustainability space. We're now building the AI-native operating system for sustainability.
Location: London, Hybrid ( 3 days in office)
Stage: Early-stage startup
Reporting to: Founder / CPO
Equity: Meaningful early-stage equity available
About UsWe 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:
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 exited 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.
The RoleWe'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:
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.
What We're Looking ForEmail, Full Name, LinkedIn URL, Phone Number (required). Select your preferred method of contact:
Email and phone number are both required for your application. Choose how you'd prefer us to reach out.
Phone We'll reach out personally. Email We'll contact you by email if there's a fit