We’re partnering with a highly capitalised, ambitious business building a completely new category: AI-native services platforms. Instead of selling software into companies, they acquire and own real-world service businesses and rebuild them with AI embedded at the core of operations.
The ambition is to transform industries that have historically been impossible to scale due to reliance on human judgement. By embedding AI directly into decision-making, operations and workflows, these businesses become compounding, software-like platforms rather than traditional services businesses.
The long-term vision is to create a platform where intelligence compounds across multiple industries, improving with every business, every system and every decision.
About the Role
As a AI Full Stack Engineer, you will be part of the small, high-calibre team building the core intelligence layer that powers this model.
This is not a feature-focused role. You will be designing and deploying systems that sit at the heart of real operating businesses, directly influencing how work gets done and how decisions are made.
You will:
- Design and build end-to-end AI-native systems across frontend, backend and infrastructure
- Develop LLM-powered applications including agents, orchestration layers and decision systems
- Build internal tools and interfaces used daily by operators across multiple industries
- Create data and feedback loops that allow systems to continuously improve
- Work directly with real-world problems that are often ambiguous, messy and high impact
About You
You are a true builder who thrives in environments where ownership is high and structure is limited.
You likely bring:
- Strong full stack engineering capability with experience shipping products end to end
- Hands-on experience applying AI in production, particularly with LLMs, agents or orchestration
- The ability to think in systems, not just features
- A product mindset with a focus on usability and real-world application
- Comfort working directly with complex, imperfect business problem
- You may come from: Early-stage or high-growth product companies
- A founding or ex-founder background where you’ve built from scratch
- Environments where you’ve had to move fast, make decisions and own outcomes
- Most importantly, you care about building things that actually get used and deliver impact
- Founding impact – shape the core systems and direction of a new category from day one
- Meaningful equity – genuine ownership in an early-stage platform with long-term ambition
- High-calibre team – work alongside a small group of top-tier, product-minded engineers
- Real-world impact – build systems tied directly to revenue, operations and decision-making
- AI-first environment – no legacy constraints, building with modern AI capabilities from the ground up
- Complex, interesting problems – operate in real industries where the challenges are nuanced and non-linear
- Autonomy and ownership – minimal bureaucracy, high trust and the ability to move quickly
