IntentAI develops and trains human-like AI chatbots to understand and interact with people in the language of their choice using their patented INTNT engine.

They specialise in building and training hybrid generative AI bots, combining two or more AI algorithms to create a more sophisticated and versatile system for their customers. This allows IntentAI Enterprise GPT Bots to handle a broader range of queries, produce more natural responses, and perform transactions.

Project role: AI Software Developer (Project Gaia)

The Trainee's scope of work includes designing systems and pipelines for ML/AI applications, developing IaC (Infrastructure as Code) on Azure, AWS and GCP.

Trainee's responsibilities include but are not limited to:

1. Development, Maintenance, and Updates of AI Pipelines - Creating and managing systems that automate the processing, analysis, and application of data using artificial intelligence.
2. Application Programming Interfaces - Developing and maintaining APIs involves building frameworks that enable communication and interaction between different software applications.
3. Deployment to Cloud Infrastructure - Setting up and managing the deployment of AI systems on remote servers.
4. Cloud Infrastructure Monitoring and Performance Tuning - Ongoing monitoring and optimisation of cloud infrastructure, ensuring cloud systems perform efficiently and reliably.
5. Frontend Development - Creating accessible and user-friendly interfaces, allowing users to effectively engage and utilise AI applications.
6. Cross-Team Collaboration - Collaborating with internal and external parties to integrate diverse perspectives and expertise into AI projects.
7. Version Control and Documentation - Maintaining version control of both code and data to ensure reproducibility. Documenting the development process, the architecture, and the deployment strategies is also a key part of the role.