We're partnering with a global health‑tech scale‑up with roots in South Africa, delivering agentic AI systems into real production healthcare environments in the US. This is not an experimental role. These systems are live, scaling, and solving real clinical workflows now. We're looking for a sharp AI Quality Engineer to own one of the hardest problems in applied AI: How do you make autonomous systems reliable enough for healthcare? You’ll design the quality engine behind production AI systems — ensuring outputs are accurate, safe, measurable, and trusted by clinicians. If you’re excited by high‑stakes AI, complex systems, and real‑world impact, this is the seat. WHAT YOU WILL BE BUILDING (AND OWN) Prompt lifecycle systems, version control, testing, and structured output enforcement Golden datasets and evaluation frameworks for LLM performance Automated regression detection across prompts, models, and workflows Production monitoring, observability, tracing, and root-cause analysis using Phoenix / OpenTelemetry Human‑in‑the‑loop review pipelines, labelling workflows, and feedback systems Statistical quality measurement to continuously improve system performance OUR REQUIRED EXPERTISE 3–5 years software engineering experience in production environments Exposure to AI / LLM systems deployed beyond experimentation 2+ years in QA, evaluation, reliability, or testing of AI systems Strong Python skills (FastAPI / async preferred) Experience with APIs, microservices, and distributed systems Monitoring and observability experience in modern production environments Strong analytical thinking with a focus on measurable quality Master's Degree or PhD in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related technical field YOUR REWARD Work at the intersection of AI and healthcare, where reliability truly matters You'll help build systems clinicians and healthcare operators can trust, with direct impact in the US market Join a greenfield environment with real ownership, complex technical challenges, and the chance to solve problems most companies have not figured out yet Competitive salary + Perks Hybrid/flexible working based out of Stellenbosch, Western Cape #J-18808-Ljbffr