LLM and GenAI applications
Ship LLM and GenAI systems into production.
AI Engineering
AI Engineers Who Ship Production Ready Systems
Embed senior South African AI engineers to take LLM, GenAI and machine learning systems into production alongside your existing team.
Discuss Your Engineering Needs
Remote contract engagements · Team augmentation · South African engineering talent
AI engineering beyond the prototype
Add senior ownership for the engineering work between a working model and a production system.
Machine learning engineering
Take models out of notebooks and make them survive production.
Model operations
Keep deployed models correct as the world drifts underneath them.
AI roles we embed
AI Engineer
Ships LLM and GenAI systems into production.
ML Engineer
Takes the model out of the notebook and makes it survive production.
MLOps Engineer
Keeps the deployed model correct as the world drifts underneath it.
Data Scientist
Finds the model that works.
Core technology stack
- Python
- PyTorch
- LangChain
- FastAPI
- PostgreSQL
- AWS
- MLflow
- scikit-learn
Discuss your requirements across these technologies and skills. We confirm the right experience and candidate availability for each engagement.
An engagement that fits your team
One engineer or several
Add an individual engineer or expand capacity within one discipline, according to your delivery needs.
Part of your existing team
Remote contract engineers collaborate with your developers and technical leaders within your existing delivery process.
Cross-functional engineering
Combine software engineering with data and AI expertise when your project needs more than one discipline.
When AI engineering capacity matters
- Taking an AI prototype into production
- Building LLM and GenAI applications
- Deploying and operating machine learning models
- Adding senior engineering capacity to an existing AI team
Match the engineer to the work
Tell us what you are building, the technology you use and what the engineer will own. We assess the required experience and confirm candidate fit and availability before agreeing an engagement. Technology expertise and timelines are matched to the role, not assumed.
Let’s Build Your AI Engineering Capacity
Discuss your AI delivery gap, production requirements and the engineer who will own the work.