Job Description
THE OPPORTUNITY THAT AWAITS YOU
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. These are greenfield deployments where performance, reliability, compliance, and integration quality directly determine whether AI succeeds or fails.
We're looking for an AI & Prompt Engineering Lead to own the clinical intelligence layer of the platform — designing and evaluating LLM agents for medical coding and clinical documentation. You'll curate coding datasets,craft prompt templates, and run SME feedback loops with clinicians to ensure outputs are clinically correct, auditable, and production‑ready.
This is a senior leadership role for someone who combines PhD‑level research depth with full‑stack engineering capability. If you want to shape how production AI actually works in healthcare — not just in theory, but in real‑world deployments — this is worth serious attention.
WHAT YOU WILL BE BUILDING
- Production-grade LLM agent runtimes built for scale, resilience, and secure execution
- Platform observability: logging, tracing, latency analysis, usage, and cost monitoring
- EHR integrations with systems such as OpenEMR, Epic, and other healthcare platforms
- Speech-to-text pipelines supporting clinical and operational workflows
- Shadow deployments, canary releases, rollback strategies, and production hardening controls
- Secure cloud environments supporting healthcare-grade compliance expectations
- Integration architecture connecting AI systems to real-world product workflows
- Technical standards, delivery priorities, and engineering direction for platform growth
OUR REQUIRED EXPERTISE
- 8+ years backend engineering experience (Python strongly preferred)
- Proven experience acting as a technical lead or owning architecture decisions
- Strong understanding of async runtimes, concurrency, and distributed systems
- Hands-on experience with LLM / agent frameworks in production environments
- Strong cloud engineering experience (GCP preferred)
- Experience integrating third-party APIs such as EHR or speech-to-text platforms
- SRE-style thinking around resilience, monitoring, incident readiness, and scale
- Strong stakeholder communication and ability to lead through complexity
- Master's Degree or PhD in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related technical field
YOUR REWARD
- Lead the platform layer that turns agentic AI into dependable healthcare products.
- Your work will determine whether intelligent systems can integrate, scale, and operate safely in real clinical environments.
- Join a fast-moving environment with strategic ownership, complex engineering challenges, and meaningful influence across product and platform teams.
- This is an awesome opportunity to lead production AI where execution matters more than hype.
- Hybrid/ Flexible working based out of Stellenbosch Western Cape
- Competitive salary + Perks
For more roles, please have a look at our website (www.60degrees.com). or follow us on LinkedIn (https://www.linkedin.com/company/10287263/)