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Salary
$25k – $62k per year (Estimated)
Location
Remote (South Africa)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Job Mail is a South African online job board offering a large selection of vacancies across the country and some positions abroad. Job seekers can search and apply for jobs online, upload a CV and receive job alerts, while employers and recruitment agencies can advertise positions to a broad national audience. The brand is one of the longer-established names in South African job advertising and is operated from South Africa.

AI Operations & Strategy Engineer (Remote)

Engineering/Technical ~ IT - Software Development

KwaZulu Natal - South Africa, Gauteng - South Africa, Western Cape - South Africa, Remote

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 companys AI and LLM strategydriving organisation-wide adoption, optimising infrastructure and costs, ensuring ethical and reliable outputs, and shaping the roadmap for future AI-powered products. Youll 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 organisation thinks about and leverages AI at scale.

DUTIES:

AI Governance & Prompt Management Design and maintain a centralised 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; optimise 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.

Authorised 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

HumanAI 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, organised, and committed to high-quality governance and documentation.

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