1,047 AI Engineer jobs in South Africa

Overview

AI Operations & Strategy Engineer — Location: Remote (South Africa).

• Manage and refine prompt engineering strategies.
• Monitor and optimise AI resource usage and costs.
• Develop evaluation frameworks to ensure reliable AI outputs.
• Train and enable internal teams on AI best practices.
• Contribute to the AI product roadmap and future features.

• Proven experience in AI engineering or machine learning operations.
• Expertise in prompt engineering and model optimisation.
• Knowledge of AI/ML APIs (OpenAI, Anthropic, Gemini).
• Experience building evaluation frameworks for AI quality.
• Strong documentation and collaboration skills.
• Programming experience in Python is a plus.

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Airlines and Aviation

Overview

AI Operations & Strategy Engineer — Location: Remote (South Africa).

• Manage and refine prompt engineering strategies.
• Monitor and optimise AI resource usage and costs.
• Develop evaluation frameworks to ensure reliable AI outputs.
• Train and enable internal teams on AI best practices.
• Contribute to the AI product roadmap and future features.

• Proven experience in AI engineering or machine learning operations.
• Expertise in prompt engineering and model optimisation.
• Knowledge of AI/ML APIs (OpenAI, Anthropic, Gemini).
• Experience building evaluation frameworks for AI quality.
• Strong documentation and collaboration skills.
• Programming experience in Python is a plus.

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Airlines and Aviation

Overview

AI Operations & Strategy Engineer — Location: Remote (South Africa).

• Manage and refine prompt engineering strategies.
• Monitor and optimise AI resource usage and costs.
• Develop evaluation frameworks to ensure reliable AI outputs.
• Train and enable internal teams on AI best practices.
• Contribute to the AI product roadmap and future features.

• Proven experience in AI engineering or machine learning operations.
• Expertise in prompt engineering and model optimisation.
• Knowledge of AI/ML APIs (OpenAI, Anthropic, Gemini).
• Experience building evaluation frameworks for AI quality.
• Strong documentation and collaboration skills.
• Programming experience in Python is a plus.

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Airlines and Aviation

Overview

Cape Town | Full-Time | Remote

R85 000 – R110 000 per month

Quarterly travel to George

Build AI Solutions That Deliver Real-World Impact

We’re seeking an AI Engineer to join an innovative team that’s transforming how businesses design, deploy, and scale AI solutions. This is a role where technical skill meets practical application – helping organizations harness AI to improve operations, performance, and outcomes.

If you have a solid foundation in AI/ML engineering, enjoy building scalable workflows, and are passionate about operationalizing AI in real-world environments, this could be your next career step.

• 2–5 years’ experience building and implementing AI/ML models.
• Hands-on expertise with Databricks, Azure ML, or equivalent tools .
• Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Practical knowledge of MLOps practices and tools (Docker, Kubernetes, CI/CD).
• Strong problem-solving mindset and ability to align technical solutions with business outcomes.
• Excellent communication and collaboration skills for working across technical and non-technical teams.

• Define : Develop AI strategies and roadmaps aligned to customer goals, co-create proposals, and ensure technical and business alignment.
• Design : Architect secure, scalable AI systems, integrating frameworks, data platforms, and cloud environments (Azure, AWS).
• Develop : Build and optimize ML models and workflows for ingestion, training, validation, and evaluation; create scalable pipelines.
• Deploy : Operationalize AI solutions using MLOps best practices with tools like Databricks, Azure ML, Kubernetes, and Docker.
• Deliver Continuously : Monitor, retrain, and optimize models, incorporating live data and feedback for ongoing improvement.
• Collaborate : Work within Agile (Scrum) teams, maintaining code quality, documentation, and alignment with stakeholders.

• A competitive salary package based on experience.
• Remote role (South Africa), with preference for Cape Town-based candidates.
• Quarterly travel to George for team collaboration.
• Exposure to cutting-edge AI/ML projects across industries.
• Opportunities to work with global cloud platforms and advanced tools in a supportive, Agile team environment.

If you’re ready to turn AI into solutions that deliver real business value, we’d love to hear from you.

Apply today and be part of a team building the future of AI engineering.

Overview

Cape Town | Full-Time | Remote

R85 000 – R110 000 per month

Quarterly travel to George

Build AI Solutions That Deliver Real-World Impact

We’re seeking an AI Engineer to join an innovative team that’s transforming how businesses design, deploy, and scale AI solutions. This is a role where technical skill meets practical application – helping organizations harness AI to improve operations, performance, and outcomes.

If you have a solid foundation in AI/ML engineering, enjoy building scalable workflows, and are passionate about operationalizing AI in real-world environments, this could be your next career step.

• 2–5 years’ experience building and implementing AI/ML models.
• Hands-on expertise with Databricks, Azure ML, or equivalent tools .
• Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Practical knowledge of MLOps practices and tools (Docker, Kubernetes, CI/CD).
• Strong problem-solving mindset and ability to align technical solutions with business outcomes.
• Excellent communication and collaboration skills for working across technical and non-technical teams.

• Define : Develop AI strategies and roadmaps aligned to customer goals, co-create proposals, and ensure technical and business alignment.
• Design : Architect secure, scalable AI systems, integrating frameworks, data platforms, and cloud environments (Azure, AWS).
• Develop : Build and optimize ML models and workflows for ingestion, training, validation, and evaluation; create scalable pipelines.
• Deploy : Operationalize AI solutions using MLOps best practices with tools like Databricks, Azure ML, Kubernetes, and Docker.
• Deliver Continuously : Monitor, retrain, and optimize models, incorporating live data and feedback for ongoing improvement.
• Collaborate : Work within Agile (Scrum) teams, maintaining code quality, documentation, and alignment with stakeholders.

• A competitive salary package based on experience.
• Remote role (South Africa), with preference for Cape Town-based candidates.
• Quarterly travel to George for team collaboration.
• Exposure to cutting-edge AI/ML projects across industries.
• Opportunities to work with global cloud platforms and advanced tools in a supportive, Agile team environment.

If you’re ready to turn AI into solutions that deliver real business value, we’d love to hear from you.

Apply today and be part of a team building the future of AI engineering.

Overview

Cape Town | Full-Time | Remote

R85 000 – R110 000 per month

Quarterly travel to George

Build AI Solutions That Deliver Real-World Impact

We’re seeking an AI Engineer to join an innovative team that’s transforming how businesses design, deploy, and scale AI solutions. This is a role where technical skill meets practical application – helping organizations harness AI to improve operations, performance, and outcomes.

If you have a solid foundation in AI/ML engineering, enjoy building scalable workflows, and are passionate about operationalizing AI in real-world environments, this could be your next career step.

• 2–5 years’ experience building and implementing AI/ML models.
• Hands-on expertise with Databricks, Azure ML, or equivalent tools .
• Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Practical knowledge of MLOps practices and tools (Docker, Kubernetes, CI/CD).
• Strong problem-solving mindset and ability to align technical solutions with business outcomes.
• Excellent communication and collaboration skills for working across technical and non-technical teams.

• Define : Develop AI strategies and roadmaps aligned to customer goals, co-create proposals, and ensure technical and business alignment.
• Design : Architect secure, scalable AI systems, integrating frameworks, data platforms, and cloud environments (Azure, AWS).
• Develop : Build and optimize ML models and workflows for ingestion, training, validation, and evaluation; create scalable pipelines.
• Deploy : Operationalize AI solutions using MLOps best practices with tools like Databricks, Azure ML, Kubernetes, and Docker.
• Deliver Continuously : Monitor, retrain, and optimize models, incorporating live data and feedback for ongoing improvement.
• Collaborate : Work within Agile (Scrum) teams, maintaining code quality, documentation, and alignment with stakeholders.

• A competitive salary package based on experience.
• Remote role (South Africa), with preference for Cape Town-based candidates.
• Quarterly travel to George for team collaboration.
• Exposure to cutting-edge AI/ML projects across industries.
• Opportunities to work with global cloud platforms and advanced tools in a supportive, Agile team environment.

If you’re ready to turn AI into solutions that deliver real business value, we’d love to hear from you.

Apply today and be part of a team building the future of AI engineering.

Overview

Cape Town | Full-Time | Remote

R85 000 – R110 000 per month

Quarterly travel to George

Build AI Solutions That Deliver Real-World Impact

We’re seeking an AI Engineer to join an innovative team that’s transforming how businesses design, deploy, and scale AI solutions. This is a role where technical skill meets practical application – helping organizations harness AI to improve operations, performance, and outcomes.

If you have a solid foundation in AI/ML engineering, enjoy building scalable workflows, and are passionate about operationalizing AI in real-world environments, this could be your next career step.

• 2–5 years’ experience building and implementing AI/ML models.
• Hands-on expertise with Databricks, Azure ML, or equivalent tools .
• Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Practical knowledge of MLOps practices and tools (Docker, Kubernetes, CI/CD).
• Strong problem-solving mindset and ability to align technical solutions with business outcomes.
• Excellent communication and collaboration skills for working across technical and non-technical teams.

• Define : Develop AI strategies and roadmaps aligned to customer goals, co-create proposals, and ensure technical and business alignment.
• Design : Architect secure, scalable AI systems, integrating frameworks, data platforms, and cloud environments (Azure, AWS).
• Develop : Build and optimize ML models and workflows for ingestion, training, validation, and evaluation; create scalable pipelines.
• Deploy : Operationalize AI solutions using MLOps best practices with tools like Databricks, Azure ML, Kubernetes, and Docker.
• Deliver Continuously : Monitor, retrain, and optimize models, incorporating live data and feedback for ongoing improvement.
• Collaborate : Work within Agile (Scrum) teams, maintaining code quality, documentation, and alignment with stakeholders.

• A competitive salary package based on experience.
• Remote role (South Africa), with preference for Cape Town-based candidates.
• Quarterly travel to George for team collaboration.
• Exposure to cutting-edge AI/ML projects across industries.
• Opportunities to work with global cloud platforms and advanced tools in a supportive, Agile team environment.

If you’re ready to turn AI into solutions that deliver real business value, we’d love to hear from you.

Apply today and be part of a team building the future of AI engineering.

Overview

Cape Town | Full-Time | Remote

R85 000 – R110 000 per month

Quarterly travel to George

Build AI Solutions That Deliver Real-World Impact

We’re seeking an AI Engineer to join an innovative team that’s transforming how businesses design, deploy, and scale AI solutions. This is a role where technical skill meets practical application – helping organizations harness AI to improve operations, performance, and outcomes.

If you have a solid foundation in AI/ML engineering, enjoy building scalable workflows, and are passionate about operationalizing AI in real-world environments, this could be your next career step.

• 2–5 years’ experience building and implementing AI/ML models.
• Hands-on expertise with Databricks, Azure ML, or equivalent tools .
• Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Practical knowledge of MLOps practices and tools (Docker, Kubernetes, CI/CD).
• Strong problem-solving mindset and ability to align technical solutions with business outcomes.
• Excellent communication and collaboration skills for working across technical and non-technical teams.

• Define : Develop AI strategies and roadmaps aligned to customer goals, co-create proposals, and ensure technical and business alignment.
• Design : Architect secure, scalable AI systems, integrating frameworks, data platforms, and cloud environments (Azure, AWS).
• Develop : Build and optimize ML models and workflows for ingestion, training, validation, and evaluation; create scalable pipelines.
• Deploy : Operationalize AI solutions using MLOps best practices with tools like Databricks, Azure ML, Kubernetes, and Docker.
• Deliver Continuously : Monitor, retrain, and optimize models, incorporating live data and feedback for ongoing improvement.
• Collaborate : Work within Agile (Scrum) teams, maintaining code quality, documentation, and alignment with stakeholders.

• A competitive salary package based on experience.
• Remote role (South Africa), with preference for Cape Town-based candidates.
• Quarterly travel to George for team collaboration.
• Exposure to cutting-edge AI/ML projects across industries.
• Opportunities to work with global cloud platforms and advanced tools in a supportive, Agile team environment.

If you’re ready to turn AI into solutions that deliver real business value, we’d love to hear from you.

Apply today and be part of a team building the future of AI engineering.

Overview

Cape Town | Full-Time | Remote

R85 000 – R110 000 per month

Quarterly travel to George

Build AI Solutions That Deliver Real-World Impact

We’re seeking an AI Engineer to join an innovative team that’s transforming how businesses design, deploy, and scale AI solutions. This is a role where technical skill meets practical application – helping organizations harness AI to improve operations, performance, and outcomes.

If you have a solid foundation in AI/ML engineering, enjoy building scalable workflows, and are passionate about operationalizing AI in real-world environments, this could be your next career step.

• 2–5 years’ experience building and implementing AI/ML models.
• Hands-on expertise with Databricks, Azure ML, or equivalent tools .
• Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Practical knowledge of MLOps practices and tools (Docker, Kubernetes, CI/CD).
• Strong problem-solving mindset and ability to align technical solutions with business outcomes.
• Excellent communication and collaboration skills for working across technical and non-technical teams.

• Define : Develop AI strategies and roadmaps aligned to customer goals, co-create proposals, and ensure technical and business alignment.
• Design : Architect secure, scalable AI systems, integrating frameworks, data platforms, and cloud environments (Azure, AWS).
• Develop : Build and optimize ML models and workflows for ingestion, training, validation, and evaluation; create scalable pipelines.
• Deploy : Operationalize AI solutions using MLOps best practices with tools like Databricks, Azure ML, Kubernetes, and Docker.
• Deliver Continuously : Monitor, retrain, and optimize models, incorporating live data and feedback for ongoing improvement.
• Collaborate : Work within Agile (Scrum) teams, maintaining code quality, documentation, and alignment with stakeholders.

• A competitive salary package based on experience.
• Remote role (South Africa), with preference for Cape Town-based candidates.
• Quarterly travel to George for team collaboration.
• Exposure to cutting-edge AI/ML projects across industries.
• Opportunities to work with global cloud platforms and advanced tools in a supportive, Agile team environment.

If you’re ready to turn AI into solutions that deliver real business value, we’d love to hear from you.

Apply today and be part of a team building the future of AI engineering.