Full stack engineer

A high-growth AI and fintech organisation is seeking a Full Stack Engineer with a strong Python background to join its innovative, intelligent team. This is an opportunity get involved in cutting-edge AI technology that is changing the way wealth-management professionals access information, generate insights and engage with their clients.

You will be a key member of the engineering team, contributing across the full development lifecycle and helping turn ambitious product ideas into scalable, production-ready solutions.

If you are a Python-focused Full Stack Engineer who wants to work on ambitious products at the intersection of AI, fintech and modern engineering, this could be your next opportunity.

Key requirements 5+ years of professional experience building full-stack web applications in production. Strong frontend skills: Type Script and React, with experience building production-grade UIs. Strong backend skills: Python (Fast API, Django, or similar), with experience designing and building APIs and services. Practical experience designing and working with relational databases (Postgre SQL, My SQL) and writing efficient queries. Experience building and consuming REST APIs. Experience integrating AI/LLM-powered features into a product — calling LLM APIs, working with retrieval-augmented generation (RAG) or vector search, or partnering with ML/AI teams to ship model-backed functionality. Familiarity with cloud infrastructure (Azure, AWS, or GCP), CI/CD pipelines, and containerization (Docker). Strong understanding of software engineering fundamentals: testing, version control, code review, and system design. Proficiency working with AI coding assistants (e.g., Claude Code, Git Hub Copilot, Cursor) to accelerate development, while critically reviewing and validating AI-generated code. Comfort working in a remote, async-first environment with strong written communication skills. Great if you also have: Familiarity with infrastructure-as-code (Terraform) and observability tooling (Datadog, Grafana, Sentry). Familiarity with vector databases or embedding-based search for AI-powered features. Background working in a startup or small, cross-functional team. Exposure to design systems and component libraries.

Reference number for this position is MAT61534 which is a permanent position offering a cost to company salary of up to R800 K per annum depending on experience and ability. #J-18808-Ljbffr