Job Description :

Founded in 2000, Course5i enables organisations to make the most effective strategic and tactical moves relating to their customers, markets and competition. We build AI products : Agent5i, our enterprise agentic AI system; Compete, digital shelf analytics; Incivus, creative effectiveness; and Synthetic Audiences. Each has its own users, roadmap, release cycle and stack today, running across Azure, AWS and GCP.

What We Seek :

You own the product surface across all four products. Architecture authority and delivery accountability sit in the same seat : you define how the products are built, and you build them. The remit spans the full application layer, including frontend, backend services, APIs, agent orchestration, and tool calling.

What You Will Own :

- Application architecture : interaction layer, service layer, agent orchestration and model integration.

- Agent patterns : multi-agent orchestration, tool and function calling interfaces.

- API standards : service boundaries and reusable conventions.

- Frontend architecture for agent-facing interfaces.

- Reusability and replaceability : components and conventions other teams consume.

- Design and code review : technical design sessions, solution reviews and merge review.

- Engineering standards, release quality and test strategy.

- Scoping : turning incomplete requirements into architecture.

- Technical growth of the team : full stack, frontend and backend, with particular attention to the 4 to 8 year band.

Must Have :

- 8 to 12 years building production software, with recent and continuing hands-on development.

- Depth in at least one modern backend stack (Python, Node.js or Java) and a current frontend framework (React).

- Shipped LLM-backed or agentic applications to real users in production.

- Strong grounding in API design, event-driven patterns, microservices and system integration.

- Led engineering teams of five or more, holding both design authority and delivery accountability.

- Practical CI/CD, automated testing and release engineering.

Tech Stack : Python, Node.js, Java, React, Azure, AWS, GCP, LangGraph, Semantic Kernel, AutoGen.