ENVIRONMENT:
An award-winning marketing technology agency based in Century City is seeking a highly skilled, strategically minded AI Operations & Strategy Engineer to join its senior engineering team, reporting directly to the CTO and Technical Lead. In this pivotal role, you will serve as the custodian of the company’s AI and LLM strategy—driving organization-wide adoption, optimizing infrastructure and costs, ensuring ethical and reliable outputs, and shaping the roadmap for future AI-powered products. You’ll thrive in a fast-paced Agile environment with one-week sprints and bi-weekly retrospectives, where your expertise in AI systems, automation, and applied machine learning will directly influence business KPIs and OKRs. This is a role for someone who can bridge strategy and execution and elevate how the organization thinks about and leverages AI at scale.
DUTIES:
AI Governance & Prompt Management – Design and maintain a centralized prompt repository; manage version control; refine prompts for performance, brand alignment, and consistency.
• AI Cost Management (AI FinOps) – Monitor token usage, model selection, and cloud AI costs; optimize for ROI across OpenAI, Anthropic, Google, AWS, and other providers.
• Evaluation Frameworks & Assurance – Implement and enforce evaluation metrics (incl. RAG-specific metrics, HITL validation) to ensure accuracy, fairness, and reliability of AI outputs.
• Internal AI Enablement & Support – Train, guide, and support teams on responsible usage of integrated AI tools; act as internal AI champion.
• AI Strategic Roadmap Contribution – Research, prototype, and recommend new models, features, and integrations; contribute to technical specifications and strategic product evolution.
• Documentation & Knowledge Sharing – Produce high-quality documentation covering AI frameworks, prompt guidelines, best practices, and governance processes.
• Cross-Functional Collaboration – Participate in standups, sprint ceremonies, and engineering discussions; provide expertise for ethical and effective AI deployment.
REQUIREMENTS:
Experience & Qualifications
• 5+ years’ experience as a Business Intelligence Analyst, AI Engineer, Machine Learning Engineer, or similar LLM-focused role.
• Strong English language proficiency.
• Authorized to work in South Africa (permanent resident status).
• Must be able to work remotely (South Africa-based).
Must-Have Skills
• Prompt Engineering
• Machine Learning
• OpenAI API
• Anthropic Claude API
• Gemini Developer API
• RAG Engineering
• Human–AI Collaboration
Nice-to-Have Skills
• Python
• Amazon SageMaker
• Google Vertex AI
• MLOps and cloud AI services
• Bias Detection & Mitigation
• Git and version control
• Knowledge of ethical AI frameworks
Additional Requirements
• Strong problem-solving skills and proactive mindset.
• Ability to work within a senior engineering team and contribute to high-impact AI operations.
• Excellent documentation, communication, and cross-functional support capabilities.
ATTRIBUTES:
- Strategic thinker with a strong ability to align AI initiatives with business objectives.
• Highly analytical with attention to accuracy, fairness, and ethical AI outputs.
• Strong ownership mindset with an ability to independently drive initiatives.
• Collaborative, supportive, and able to mentor others on AI adoption.
• Adaptable and continuously learning in a rapidly evolving AI landscape.
• Detail-oriented, organized, and committed to high-quality governance and documentation.
Desired Skills:
- Git
- Google
- Machine Learning
- Python
About The Employer:
A well-established MarTech firm specialises in location-based marketing and reputation management for multi-location or franchised brands. They provide a suite of software solutions designed to let brands manage listings, reviews, social media, advertising and bookings across hundreds or thousands of individual locations — all from a centralised dashboard. Their services enable brands to maintain consistent local presence, respond to customer feedback at scale, optimise local search visibility, and execute geo-targeted digital campaigns. With global reach, they support enterprise-grade brands across multiple countries and industries, helping them to drive local engagement, streamline operations and elevate their brand reputation.
