What you’ll build

The agent platform

• Design and develop the core infrastructure that runs our AI agent teams

• Build orchestration logic: how agents are triggered, how they hand off to each other, how they recover from errors

• Ensure the platform is model-agnostic — swapping or upgrading the underlying AI model should never mean rebuilding from scratch

• Build and maintain the integration layer that connects agents to client systems (ERP, CRM, ticketing, case management)

• Think in reliability, scalability and security from day one — our clients run mission-critical processes on this

Front-end and chat interfaces

• Build the conversational interfaces through which end-users interact with agents (web chat, embedded widgets, Teams)

• Translate complex agent behaviour into experiences that feel simple and human

• Work closely with the AI Project Engineers to understand what clients need and make it real

• Ensure interfaces are fast, accessible and easy to configure per client deployment

Platform quality and evolution

• Write clean, maintainable code — you’re building something that will grow fast

• Set up and maintain CI/CD pipelines and deployment processes

• Monitor platform performance and proactively address bottlenecks

• Stay close to the rapidly evolving AI tooling landscape — and bring the best of it into the platform

Your profile

Must-haves

• 3–6 years of experience building production-grade software

• Solid full-stack skills: comfortable with both backend logic and building polished front-end experiences

• You’ve worked with APIs and know what good integration architecture looks like

• You understand AI/LLM concepts well enough to build systems around them — you don’t need to train models, but you need to orchestrate them effectively

• You write code others can read, maintain and build on

• You’re pragmatic: you know when to build the elegant solution and when to ship something that works

Nice-to-haves

• Experience with conversational UI or chat-based interfaces

• Familiarity with agent frameworks or LLM orchestration tools

• Experience building multi-tenant SaaS platforms

• Knowledge of MCP (Model Context Protocol) or similar integration standards

• You’ve worked in an early-stage startup before and know what that pace feels like

Tech stack

We are deliberately keeping our stack choices open — we want the right person to help shape them. We care more about engineering fundamentals and sound architectural thinking than specific framework preferences.