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- Tasks: Build innovative AI systems for sustainability decision-making and data management.
- Company: Stealth startup focused on agentic AI for environmental impact.
- Benefits: Meaningful equity, influence in decisions, and a passionate team.
- Other info: Join a dynamic team with prior successful startup experience.
- Why this job: Make a real difference in climate and social issues while shaping the future of AI.
- Qualifications: 7+ years in full-stack development with strong software engineering fundamentals.
The predicted salary is between 70000 - 90000 £ per year.
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 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 Role
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.
What We’re Looking For
- Strong software engineering fundamentals
- 7+ years building full-stack applications
- Proficiency in modern web technologies – ideally in React/Next.js/TypeScript
- 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)
Strong Plus
- Experience building agentic workflows that are trusted
- Experience with LangChain, LangGraph, 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
Why Join Us
- 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
Full Stack Founding AI Engineer employer: Annwn
Contact Detail:
Annwn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Founding AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the sustainability and AI space on LinkedIn or at industry events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and sustainability. This will give potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to full-stack development. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Full Stack Founding AI Engineer
Some tips for your application 🫡
Show Your Passion for Sustainability: When writing your application, let your enthusiasm for sustainability shine through. We want to see how your values align with our mission to tackle environmental challenges using AI. Share any relevant experiences or projects that highlight your commitment to making a difference.
Highlight Your Technical Skills: Make sure to clearly outline your technical expertise in full-stack development, especially with React, Next.js, and Python. We’re looking for someone who can hit the ground running, so don’t hold back on showcasing your past projects and achievements that demonstrate your skills.
Be Clear and Concise: We appreciate clarity in communication, so keep your application straightforward and to the point. Use bullet points where necessary to make it easy for us to digest your information. Remember, we want to understand your journey and how you can contribute to our team.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to be part of our journey from the very start.
How to prepare for a job interview at Annwn
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like React, Next.js, and Python. Brush up on your full-stack development skills and be ready to discuss how you've used these technologies in past projects.
✨Understand the Mission
Familiarise yourself with the sustainability challenges the company aims to tackle. Be prepared to discuss how your skills can contribute to building AI systems that address real-world environmental issues. Show genuine interest in their mission!
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your ability to reason over complex data and run simulations. Think of examples from your experience where you’ve had to analyse messy data or make decisions based on uncertain information.
✨Showcase Your Communication Skills
As a clear communicator, you’ll need to explain complex systems effectively. Practice articulating your thought process and technical decisions in a way that’s easy to understand. This will demonstrate your ability to collaborate with both technical and non-technical team members.