AI-Enabled Full Stack Software Developer
The Legends Agency Cape Town
AI-Enabled Full Stack Software Developer
Join an international AI consultancy building proprietary AI-first software products and tools developed in-house and deployed globally.
Cape Town Hybrid/Remote, 8:30 AM - 5 PM UK Time Mon-Fri,Salary: R70 000 p/m.
About Our Client
The company is an international AI consultancy that builds proprietary IP, AI-first software products, and practical tools. It operates by helping organisations move from experimentation to embedded capability while designing and building its own platforms and frameworks.
The Role: AI-Enabled Full Stack Software Developer
This role exists to bridge the gap between product and engineering by designing and building software while defining technical specifications for other developers. It contributes to the business by translating product intent into buildable software and ensuring clean delivery through development, staging, and release.The main focus areas include full-stack development, product thinking, and the application of AI tools to enhance development efficiency and product capability.
Key Responsibilities- Demonstrate strong experience as a full-stack software developer in production environments.
- Design, build, and ship full-stack software features across frontend, backend, APIs, data, and cloud infrastructure.
- Translate product intent into clear technical specifications, acceptance criteria, and delivery plans.
- Apply AI tools and techniques, including Claude Code or similar, to enhance product capability and workflows.
- Own delivery standards and quality across development, staging, and production environments.
- Break down ambiguous ideas into actionable work for developers.
- Work with engineers, designers, and stakeholders to prioritise and sequence work.
- Contribute to background in product management, technical product ownership, or solution design.
- Strong experience as a full-stack software developer in production environments.
- Hands-on experience using AI tools and APIs within software products or development workflows.
- Proven ability to think in terms of products rather than just features or tickets.
- Experience writing technical specifications, user stories, and acceptance criteria.
- Solid understanding of modern web stacks, APIs, databases, and cloud infrastructure.
- Experience with CI/CD, staging environments, and production releases.
- Clear communicator able to work across technical and non-technical stakeholders.
- Experience embedding AI or automation into SaaS products (nice to have).
- Familiarity with planning and ticketing tools such as Zoho (nice to have).
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