Senior Software Developer; Full Stack + AI​/Automation

Senior Software Developer (Full Stack + AI/Automation) - Cape Town

Cape Town, South Africa | Posted on 26/06/2026

A leading investment and technology-driven organisation is seeking a dynamic and experienced Senior Software Developer to join its growing team in Durbanville, Cape Town.

This role is ideal for a highly skilled full‑stack developer with strong experience in AI integration, automation, and modern software architecture
, who is ready to take ownership of enterprise‑level systems and drive technology strategy.

• Lead full‑stack development and enterprise application architecture across the organisation
• Own and drive production AI systems, including LLM integration, RAG pipelines, and intelligent automation
• Lead the rollout and integration of AI tooling (including Claude‑based workflows) into development and CI/CD processes
• Design and implement automation workflows using APIs, webhooks, and integration platforms
• Develop and maintain CRM and business system integrations across multiple platforms
• Define and drive technology strategy, architecture roadmaps, and engineering standards
• Lead, mentor, and guide cross‑functional development teams
• Collaborate with stakeholders to translate business requirements into scalable technical solutions

• Tertiary qualification in Computer Science, Software Engineering, Information Technology (or equivalent practical experience)
• 5–10+ years’ software development experience
• AI / Machine Learning certification or proven experience (including generative AI, LLMs, prompt engineering, or applied ML)
• Certifications or strong experience across the development stack:
• Python
• React
• Dev Ops and CI/CD experience using Git Hub
• Containerisation experience with Docker
• Experience with workflow automation tools such as n8n and Zapier
• CRM and business systems exposure (e.g. Zoho One, Smart Sheet, Whats App Business API)
• Strong technical leadership, stakeholder engagement, and mentoring capability

• LLM integration and AI orchestration using:
• Anthropic Claude (API and Claude Code)
• Knowledge base design, RAG systems, and prompt engineering
• CRM automation and AI‑driven workflow integration
• Experience building AI‑powered enterprise systems and pipelines