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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 key decisions, and a passionate team.
- Other info: Join a successful founding team with a mission that matters.
- Why this job: Tackle real-world climate challenges while shaping the future of sustainability tech.
- 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 in London employer: Annwn
Contact Detail:
Annwn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Founding AI Engineer in London
✨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 personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and sustainability. We love seeing real-world applications of your work, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by understanding the company’s mission and values. We’re all about closing the gap in sustainability data, so be ready to discuss how your experience aligns with our goals and how you can contribute.
✨Tip Number 4
Don’t just apply anywhere; apply through our website! It shows you’re genuinely interested in joining our team. Plus, we keep an eye on applications that come directly from our site, so it could give you an edge!
We think you need these skills to ace Full Stack Founding AI Engineer in London
Some tips for your application 🫡
Show Your Passion for Sustainability: When you're writing your application, let your passion 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 skills and experience in full-stack development. We’re looking for someone with strong software engineering fundamentals and proficiency in modern web technologies like React, Next.js, and Python. Don’t be shy – showcase your best projects!
Be Clear and Concise: We appreciate clarity! When you write your application, keep it straightforward and to the point. Use simple language to explain complex systems you've worked on, and make sure your communication style reflects how you’d interact with our team and customers.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen to join our journey from the get-go!
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, TypeScript, 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 Sustainability Context
Since the role focuses on sustainability, take some time to research current trends and challenges in this field. Be prepared to discuss how AI can address fragmented environmental data and improve decision-making for organisations.
✨Showcase Your Problem-Solving Skills
Be ready to share specific examples of how you've tackled complex problems in your previous roles. Highlight any experience with simulations, scenario analysis, or decision-support systems, as these will be crucial for the position.
✨Communicate Clearly
As a clear communicator, practice explaining complex systems in simple terms. You might be asked to describe your thought process during a technical challenge, so ensure you can articulate your ideas effectively and confidently.