AI Engineer; Python, SQL Server & RESTful API R900k per annum
Job in
Johannesburg, 2000, South Africa
Listed on 2026-07-17
Listing for:
ATS Client
Full Time
position Listed on 2026-07-17
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Backend Developer, Python
Job Description & How to Apply Below
We are seeking a highly skilled AI Engineer with strong expertise in Python development, Microsoft SQL Server, RESTful API design, and modern AI/ML tools and concepts. The ideal candidate will design, build, and deploy intelligent systems that integrate machine learning models, data pipelines, and scalable backend services to support enterprise applications.
You will work across data engineering, backend development, and AI model integration to deliver production‑ready AI solutions.
Responsibilities- Design, develop, and deploy AI/ML models for real‑world business applications
- Build and maintain scalable Python‑based backend services
- Develop and manage RESTful APIs for integrating AI systems with applications
- Integrate machine learning models into production‑ready services
- Work with Microsoft SQL Server for database design, optimisation, and querying
- Develop and maintain data pipelines to support AI and analytics workflows
- Design end‑to‑end AI system architectures (data, model, API, deployment)
- Implement and support microservices‑based architectures
- Collaborate with cross‑functional teams including data scientists and software engineers
- Ensure performance, scalability, and security of AI‑driven systems and APIs
- Work with AI/ML frameworks and tools such as Tensor Flow, PyTorch, or scikit‑learn
- Participate in testing, debugging, and continuous improvement of deployed solutions
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field
- 5+ years' experience in Python development
- Strong experience with Microsoft SQL Server
- Proven experience designing and building RESTful APIs
- Solid understanding of AI/ML concepts (supervised, unsupervised learning, deep learning basics)
- Experience with at least one ML framework (Tensor Flow, PyTorch, scikit‑learn)
- Strong knowledge of data structures, algorithms, and software engineering principles
- Experience working with JSON, API authentication (OAuth2/JWT), and microservices
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