AI Engineer

• Design, build, and maintain full-stack web applications from concept to production
• Develop scalable applications using Next.js, React, Svelte, and Python
• Build internal business tools and operational dashboards to improve business efficiency
• Integrate third-party platforms using REST APIs, webhooks, authentication, and API keys
• Design clean, intuitive, and user-friendly interfaces focused on usability
• Own projects across the full development lifecycle, from architecture and backend logic to polished frontend delivery
• Collaborate with stakeholders to translate business problems into practical technical solutions
• Leverage AI-assisted development tools as a core part of the daily workflow to accelerate delivery while maintaining quality

AI Developer

• Design, develop, and maintain cloud-ready full-stack applications aligned with business and security requirements
• Develop secure, maintainable, and scalable software using modern engineering principles
• Apply secure coding standards and industry best practices
• Contribute to architecture and technical design discussions
• Ensure software meets quality, security, and performance standards
• Develop and maintain unit, integration, and API tests
• Contribute to CI/CD pipeline development and optimisation using Azure DevOps
• Support shift-left testing and security practices
• Embed automated testing and security checks throughout the development lifecycle
• Improve development standards and engineering processes
• Build and support scalable solutions hosted within Microsoft Azure
• Contribute to deployment, configuration, and management across multiple environments
• Work closely with Cloud, Security, and Infrastructure teams
• Support cloud-native application development and deployment strategies
• Design and develop RESTful APIs
• Support microservices-based architectures
• Build secure and scalable integrations across internal and external systems
• Ensure APIs are documented, tested, and maintainable
• Produce and maintain technical documentation
• Document architecture decisions, integrations, and deployment processes
• Communicate technical concepts to technical and non-technical stakeholders
• Participate in peer reviews and knowledge-sharing initiatives
• Participate in sprint planning, stand-ups, retrospectives, and agile ceremonies
• Collaborate with Product, QA, Architecture, and Engineering teams
• Contribute to project estimation, planning, and technical decision-making
• Drive continuous improvement across engineering practices
• Use AI tools to support day-to-day software engineering activities
• Identify development activities that can be delegated to AI agents
• Verify and review AI-generated outputs before implementation
• Build testing and validation mechanisms for AI-assisted work
• Determine when AI should be used and when human judgement is required
• Maintain accountability for all code and technical decisions

Software Engineer – AI Focused

• Create realistic, challenging coding tasks involving feature implementation and software bug fixes.
• Design tasks that reflect real-world backend engineering scenarios.
• Develop deterministic verifiers that accept reasonable valid solutions and reject incorrect outputs.
• Work with backend technologies such as Java, Node.js, Go, Rust, TypeScript, Python, C++, or similar languages.
• Evaluate code for correctness, reliability, maintainability, and performance.
• Incorporate automated testing and clear validation criteria into coding tasks.
• Identify and account for edge cases, performance bottlenecks, and potential implementation errors.
• Apply secure coding principles and cybersecurity considerations where relevant.
• Refine tasks and verification logic based on project requirements and quality standards.

Backend Software Engineer – AI Training Projects

• Own and develop the existing internal CRM across the Node.js/Express backend and React frontend
• Audit the codebase for gaps, bugs, technical debt, security risks, and incomplete functionality
• Create a plan to complete and stabilize the CRM
• Develop, test, and maintain lead management, communications, agent workflows, reporting, and administrative features
• Debug and resolve issues affecting live applications
• Maintain and improve AI functionality using OpenAI and Anthropic APIs
• Work within the agentic tool gateway, including tool permissions, policy controls, and safety restrictions
• Maintain real-time functionality using Redis, Socket.IO, and Twilio Voice
• Protect customer and agent data through authentication, authorization, validation, logging, and tenant isolation
• Manage deployments and infrastructure across Render, Cloudflare, AWS S3, MongoDB Atlas, GitHub, and GitHub Actions
• Maintain CI/CD and production deployment processes
• Work with the founder and operations manager to translate business requirements into technical solutions
• Build licensing and onboarding systems to replace the current GoHighLevel process
• Support additional internal systems, operational technology, and AI implementation projects
• Become the primary technical owner of the CRM and establish a stable release process and development roadmap

Senior Full Stack AI Engineer

• Develop practical AI, automation, and data solutions that improve work processes and client services
• Help develop and extend PIA, the internal AI automation tool, to improve service desk efficiency and reduce manual processes
• Build, test, and maintain automation scripts across RMM and PSA platforms, including N-able, ConnectWise, and Halo
• Investigate, develop, and maintain APIs and integrations between internal and client-facing systems
• Clean, reconcile, and analyse data from multiple platforms to ensure accuracy and consistency
• Build and maintain dashboards and reports covering service delivery, client health, and financial performance
• Identify opportunities where AI and automation can improve internal and client processes
• Use Microsoft Copilot, Claude, Microsoft Foundry, and other AI tools to design and build business-focused solutions
• Support AI projects from initial brief and requirements gathering through development, UAT, and completion
• Create and maintain documentation for AI and automation implementations
• Track, measure, and report the commercial and operational impact of implemented automations and AI solutions
• Test solutions, investigate issues, troubleshoot problems, and escalate where appropriate
• Continue developing knowledge of AI, automation, Microsoft technologies, and business systems

AI Engineer jobs in South Africa

AI Developer

Software Engineer – AI Focused

Backend Software Engineer – AI Training Projects

Senior Full Stack AI Engineer

Junior AI Engineer