Senior AI Engineer - Customer Ops & ML Agents

AnyVan Ltd.; Cape Town; On-site; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive Salary

Generous time off

Health & wellbeing

Career growth

Free parking

Job summary

AnyVan Ltd. in Cape Town is seeking a senior engineer to design, build and operate production‑grade AI agents for our Sales and Customer Service teams.

You’ll decide how they reason, which tools and data they may use, and implement guardrails and observability to keep them accurate and on‑brand. You’ll work with Sales and CS leaders and the frontline agents to measure impact on conversion, response times and customer satisfaction.

Qualifications

• Experience in a scale-up or fast-growing product environment.
• Strong backend engineering skills (Go, Java, Python, or similar).
• A solid understanding of distributed systems, scalability, and performance.
• Experience with CI/CD, modern deployment practices, and cloud infrastructure.

Responsibilities

• Designing, building, and operating production-grade systems that scale.
• Tackling complex technical challenges across backend, infrastructure, data flows, and AI/ML pipelines.
• Writing clean, pragmatic, well-tested code with long-term maintainability in mind.
• Collaborating with technical and non-technical stakeholders to shape solutions.
• Championing testing, observability, and quality improvements.
• Mentoring engineers and raising the technical bar across the team.

Skills

Backend engineering

Go

Java

Python

Distributed systems

CI/CD

Cloud infrastructure

Mentoring

Tools

AWS

Docker

Kubernetes

CI/CD tools

Job description

AnyVan Ltd. in Cape Town is seeking a senior engineer to design, build and operate production‑grade AI agents for our Sales and Customer Service teams.

You’ll decide how they reason, which tools and data they may use, and implement guardrails and observability to keep them accurate and on‑brand. You’ll work with Sales and CS leaders and the frontline agents to measure impact on conversion, response times and customer satisfaction.