Senior Full-Stack Engineer (AI Products) | On-site | George WC

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.

Requirements

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:

• 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).
• You’re also comfortable owning the full lifecycle: from design and development to CI/CD and deployment.
• 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

Bonus points

We’d love to hear from you if you’ve also worked with:

• Conversational interfaces, Azure, or LLM observability tools
• Complex system integrations like CRM platforms
• Training or certifications in secure software development or data protection (e.g. GDPR/POPIA awareness)