Full-Stack Software Engineer Cape Town, SA / Remote

Location : Cape Town, SA / Remote

Employment Type : Full-time

Salary : Competitive + Share Options

Reporting To : Head of Engineering

Clairo AI is a London-based AI agent builder focused on fully private AI. Our platform enables businesses to deploy AI agents that connect to their internal data sources while ensuring complete privacy—without relying on external APIs.

We operate our own bare-metal infrastructure and have developed a large-scale Kubernetes platform to scale our AI models, microservices, and enterprise applications. Our AI stack is designed to solve complex business challenges across data search, automation, and AI-powered decision-making .

Following a successful funding round, we are expanding our engineering and marketing teams , hiring four to five new team members .

At Clairo AI, we embed Responsible AI into everything we do :

• Privacy : We prioritise data security and client confidentiality.
• Sustainability : Our Icelandic data centre enables us to run AI infrastructure with net-zero emissions.
• Trust : We ensure AI reliability through trust metrics, citations, and better prompting.
• Education : We actively educate businesses on how to use AI effectively and responsibly.

Join us in redefining AI for business— private, secure, and high-performance .

Job Summary

We are looking for a Full-Stack Software Engineer to play a key role in building and scaling our platform. This is an opportunity to redesign our backend , which requires significant improvements in performance, reliability, and scalability . You will have the freedom to bring fresh ideas and build core backend components from the ground up .

Beyond the backend, you will work on our TypeScript and React frontend , which needs further refinement to reach a professional-grade standard . Additionally, you will contribute to building AI-powered features , integrating AI into our product to solve complex business challenges .

This role also involves working with containerised applications and Kubernetes . We run all our AI models, microservices, and applications on a bare-metal Kubernetes platform , offering significant learning opportunities in this space.

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