AI Engineering Intern
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Job Description
AI Engineering Intern building LLM integrations, prototypes, and automation workflows for MedNext’s Australian healthcare platform. Remote Sri Lanka-based internship with Engineering, Product, and QA collaboration.
Responsibilities:
- 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
- Python programming (preferred but not mandatory)
- JavaScript / TypeScript (preferred but not mandatory)
- APIs and integrations (preferred but not mandatory)
- OpenAI / Claude / Gemini or similar LLM platforms (preferred but not mandatory)
- Prompt engineering (preferred but not mandatory)
- AI automation tools (preferred but not mandatory)
- Git / GitHub / version control (preferred but not mandatory)
- Cloud platforms (AWS / Azure / GCP) (preferred but not mandatory)
- Basic understanding of LLMs and AI workflows (preferred but not mandatory)
- Sri Lankan residence required
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
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