Ai Engineering Lead

Network Recruitment; Johannesburg; Vor Ort; ZAR 1.000.000 - 1.800.000; Vollzeit

Zusammenfassung

Network Recruitment seeks a senior AI engineering leader in Johannesburg to drive hands-on delivery and guide a small but capable team. You will own AI strategy, architectures, and governance while scaling production AI systems.

You will collaborate with product, data science and operations, implement MLOps, and evaluate tools and cloud platforms. The role demands strong Python, LLM experience, and leadership of engineers delivering enterprise AI.

Qualifikationen

• Bachelor's degree in Computer Science, AI, Data Science, Engineering, or related field.
• 8+ years in software engineering or ML.
• 3+ years in technical leadership or management role.
• Proven experience delivering enterprise-scale AI and ML solutions.
• Experience with cloud environments (Azure).

Aufgaben

• Develop and implement AI strategies aligned with business objectives.
• Establish AI engineering standards, governance and best practices.
• Design, develop and deploy AI, ML and generative AI solutions.
• Oversee the end-to-end AI lifecycle from development to deployment and monitoring.
• Implement MLOps practices to support efficient model deployment and maintenance.
• Evaluate and adopt AI tools, frameworks and cloud technologies.

Kenntnisse

Python

AI/ML

LLM integration

API design

Leadership

GitHub-based collaboration

Ausbildung

Bachelor's degree in Computer Science / AI / Data Science / Engineering

Master's degree preferred

Tools

Azure

Kubernetes

Docker

LangChain

Jobbeschreibung

The role:

Lead a compact AI engineering team hands-on:Â

Must have:

Deep LLM integration, voice-pipeline (STT/TTS) and text-agent experience, Python, API design, GitHub-based team workflow, production AI systems at scale, people leadership of small engineering teams.

Nice to have:

Telephony platforms, collections or fintech domain, Azure, Kubernetes/Docker, CI/CD, Hugging Face ecosystem, eval frameworks.

Key Responsibilities:

Develop and implement AI Strategies aligned with business objectives. Establish AI engineering standards, governance and best practices Design develop and deploy AI, machine learning and generative AI solutions Oversee the end-to-end AI lifecycle from development to deployment and monitoring. Implement MLOps practices to support efficient model deployment and maintenance. Evaluate and adopt AI tools, frameworks and cloud technologies.

Job Experience and Skill Required:

Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, or a related field (Masters Preferred). 8+ years of software engineering or machine learning experience. 3+ years in a technical leadership or management role. Proven experience delivering enterprise-scale AI and machine learning solutions. Demonstrated experience working in cloud environments (Azure). Strong proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and LangChain. Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents. Strong understanding of machine learning algorithms, NLP, deep learning, and data modeling. Familiarity with vector databases, API development, and microservices architecture. Â