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

dotsure.co.za

Wes-Kaap

On-site

ZAR 900,000 - 1,300,000

Full time

14 days+

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Job summary

ARC AI is seeking a Senior Full-Stack Engineer (AI Products) to turn powerful AI systems into usable products in a regulated environment. You will own frontend interfaces, APIs and the product layer, designing user experiences from chat interfaces to human-in-the-loop systems while ensuring reliability and security.

You will lead the full stack, from UI streaming to backend integration with core systems, and you’ll establish observability to improve production performance.

Qualifications

  • 5+ years in full-stack software engineering.
  • Experience shipping AI/LLM-powered products into production.
  • Bachelor’s degree or equivalent practical AI production experience.

Responsibilities

  • Design and build frontend interfaces, APIs, and product layers between AI and users.
  • Own full-stack implementation including streaming responses and backend services.
  • Build observability and feedback loops for production AI agents.

Skills

Full-stack engineering
AI product experience
Production systems
CI/CD ownership
Security/compliance
Authentication/Authorization
React or similar
Node.js/Python backends
REST/GraphQL APIs

Education

Bachelor’s degree in CS/SE/IS or related field

Tools

React
Node.js
Python
REST APIs
GraphQL
CI/CD pipelines

Job description

Description

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.

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)

Most importantly, you think like a product engineer. You care about how things work in production, not just how they’re built.

Why join us

You’ll be part of a small, high-impact team building something from the ground up. There are no layers of separation, no handoffs to QA, DevOps, or external teams. You own what you build.

Your work will directly shape how AI is experienced by real customers in a regulated environment. It’s complex, meaningful, and visible.

We’re based in George, Western Cape, and this role is office-based, giving you the opportunity to collaborate closely, move quickly, and build as a team.

If you’ve built AI products that made it into users’ hands and you’re ready to take full ownership of what comes next, we’d like to hear from you.

Work Level

Senior

Job Type

Permanent

Salary

Market Related

EE Position

No

Location

Western Cape

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