Senior AI Developer

D6; Pretoria; On-site; ZAR 800 000 - 1 200 000; Full time

Job summary

A leading EdTech company in Pretoria seeks an experienced AI/ML Engineer to design and deploy solutions addressing educational challenges. The role involves collaborating with product and engineering teams to build seamless AI integrations into our SaaS platforms. Ideal candidates have 8+ years of software engineering experience and strong skills in Python and AI frameworks. Join us to shape the future of education through technology.

Qualifications

• 8+ years in software engineering, with at least 3 years in applied AI/ML.
• Proven ability to deploy and maintain models in production.
• Solid foundations in APIs, data structures, and secure coding.

Responsibilities

• Design, train, and deploy AI/ML models for various school challenges.
• Build pipelines and APIs integrating AI into our SaaS platforms.
• Monitor and tune models in production for performance and reliability.

Skills

Python

AI/ML frameworks (PyTorch, TensorFlow, Hugging Face)

MLOps

NLP and LLMs

Cloud AI services

Containerisation (Docker, Kubernetes)

Job description

Role Description Bonus

• Design, train, and deploy AI/ML models that solve real school challenges – from personalising parent communication to forecasting school finances and simplifying administrative tasks.
• Work with product and engineering teams to translate messy real-world problems into scalable AI solutions.
• Build pipelines and APIs that make AI a seamless part of our SaaS platforms.
• Monitor and tune models in production to ensure performance, reliability, and fairness.
• Help shape our AI strategy and mentor developers as we scale AI capability across d6.

Role Requirements

• 8+ years in software engineering, with at least 3 years in applied AI/ML.
• Strong Python skills and experience with frameworks like PyTorch, TensorFlow, Hugging Face.
• Proven ability to deploy and maintain models in production (MLOps, monitoring, lifecycle management).
• Experience with agentic AI and MCP/A2A.
• Experience with NLP, LLMs, or recommendation systems.
• Knowledge of cloud AI services (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes).
• Solid foundations in APIs, data structures, and secure coding.

Bonus if you have

• Built AI features for SaaS products, especially in multi-tenant environments.
• Experience with vector databases, embeddings, or RAG pipelines.
• Domain experience in EdTech, MIS, or compliance-heavy data environments (GDPR, POPIA).