Senior Full-Stack Engineer

Senior Full-Stack Engineer (AI Products)

Location: George, Western Cape | On-site

AI agents aren’t products until people can use them. That’s where you come in.

About the role:

You’ll turn powerful AI systems into real, usable products; the kind customers and teams rely on every day. At ARC AI, we’re building intelligent agents that operate in a regulated insurance environment, and your role is to make them work in the real world.This means designing and building the interfaces, APIs, and product layer that sit between AI and people. You’ll shape how users interact with AI: from chat interfaces and workflows to human-in-the-loop review systems that keep humans in control of agent decisions before they reach customers. Ensuring everything works smoothly, even when the AI doesn’t.You’ll own the full stack: frontend experiences that handle streaming responses and unpredictable outputs, backend services that connect AI to core systems, and the pipelines that ship it all into production.You’ll also build the observability and feedback loops that help us continuously improve how these agents perform in production, not just in evaluation, but in the real product.This is a hands‑on, high-ownership role where what you build is the product, seen and used by customers and leadership alike.

About you:

You’re an experienced full‑stack engineer who has already shipped AI‑powered products into production.You understand that building for AI is different. You’ve worked with non‑deterministic systems, handled variable latency, and designed experiences that gracefully manage failure, partial responses, and uncertainty.You’re confident across the stack:

You’re confident across the stack:

• Modern frontend frameworks (React or similar)
• Backend/API development (Node.js, Python, or similar)
• REST/GraphQL APIs at scale
• Secure, compliant data handling in regulated environments
• You’ve built systems where reliability, security, and control matter, including authentication, validation, and enforcing boundaries at the API layer (not relying on the model to behave).

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience demonstrating shipped production AI work
• 5+ years’ experience in full‑stack software engineering roles
• Demonstrated experience shipping user‑facing AI or LLM‑powered products into production environments