AI Engineering Intern

Role Overview

• Assist with AI engineering and automation initiatives
• Build prototypes and proof-of-concepts using AI tools and APIs
• Explore and evaluate emerging AI technologies
• Assist with prompt engineering and workflow automation
• Support LLM integrations and experimentation
• Collaborate with Engineering, Product, and QA teams
• Document technical findings, ideas, and implementation approaches
• Support testing and improvement of AI-driven features
• Stay updated on AI trends and share learnings with the team.

Requirements

• Currently following or recently completed a degree/diploma in IT, Software Engineering, Computer Science, AI, or a related field
• Strong passion for AI, automation, and emerging technologies
• Strong analytical and problem-solving skills
• Willingness to learn quickly and experiment independently
• Positive attitude and strong work ethic
• Ability to communicate clearly and work collaboratively
• Good English communication skills
• Coding mindset with interest in building practical solutions
• Technical Exposure (Preferred but Not Mandatory)​
• Python programming
• JavaScript / TypeScript
• APIs and integrations
• OpenAI / Claude / Gemini or similar LLM platforms
• Prompt engineering
• AI automation tools
• Git / GitHub / version control
• Cloud platforms (AWS / Azure / GCP)
• Basic understanding of LLMs and AI workflows

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform
• JavaScript
• Python
• TypeScript

Benefits

• Hands-on AI engineering and automation experience
• Opportunity to work on real healthcare AI initiatives
• Exposure to modern AI tooling and workflows
• Mentorship from experienced Engineering and Product teams
• Practical experience working in a structured software company environment
• Potential pathway to permanent employment based on performance
• Opportunity to contribute to the future of AI-powered healthcare technology