Our client is building a fully AI-powered workplace coaching platform that’s redefining how teams interact, learn, and perform - shaping the next frontier in human–AI collaboration. Powered by cutting-edge research in generative AI, multimodal reasoning, and behavioural simulation, their platform introduces synthetic AI personas that listen, adapt, and challenge in real time. These AI-driven simulations foster deeper learning, stronger leadership, and sharper decision-making across entire organisations.

Following a successful pre-seed round earlier this year, the company is on track to reach profitability by Q1 2026.

Role Overview:

As a Founding Full?Stack Engineer, you’ll be at the core of building an AI-native product - shaping systems where user input, AI reasoning, behavioural logic, and response generation happen in milliseconds.

Key Responsibilities:

* Design and build end?to?end features across the stack (TypeScript / Python), with a focus on integrating real-time, multi-turn AI dialogue into the user experience.

* Work closely with AI researchers to productionise LLM?powered agents, including retrieval?augmented memory, contextual feedback loops, and behavioural modelling.

* Develop core infrastructure to support latency-sensitive interaction - combining frontend responsiveness with backend reasoning pipelines.

* Shape technical direction and engineering standards for a high?growth team tackling some of the hardest problems in AI productisation.

Qualifications:

* Professional experience with TypeScript and React - familiarity with Next.js is a strong plus.

* Backend development in Python, ideally with FastAPI or similar modern web frameworks.

* Comfortable designing and consuming REST APIs and webhooks for real-time system communication.

* Hands-on experience with MongoDB and Redis in production environments.

* Confident working with Docker for local development and containerisation.

* Familiarity with AI-enhanced developer tooling such as Cursor, Claude Code, GitHub Copilot, or similar tools.

* A product-minded builder - comfortable navigating early-stage ambiguity and contributing across the full stack.

If you’re excited about leading a team shaping the multilingual voice layer of next-gen AI - and turning technical complexity into scalable, human-centric products, we’d love to hear from you.