Team: Engineering
Location: Bhaktapur
Role Overview
The Apprentice QA Engineer at SAGEA will assist in testing and validating AI systems, pipelines, and experimental models under supervision. This is a learning-focused apprenticeship where you will gain hands-on exposure to model evaluation, data workflows, and deployment practices while contributing to the reliability of our systems.
What You Will Do
Execute test plans for AI models and supporting pipelines
Assist in validating data processing, preprocessing, and ETL workflows
Help identify bugs, inconsistencies, and performance issues
Work with QA and research engineers to maintain reproducibility of experiments
Support automation of basic tests and documentation of results
Learn QA best practices for AI research and deployment
What We Are Looking For
Basic programming skills (Python preferred)
Interest in AI, machine learning, or software quality
Detail-oriented and methodical in testing and validation
Willingness to learn from hands-on experience in a research-focused environment
Why This Role Matters at SAGEA
Even in early-stage research, quality and reproducibility are critical. This role allows apprentices to contribute meaningfully while learning the processes and practices that ensure AI systems are reliable, testable, and deployment-ready.
Skills Required
- Basic programming skills
- Python programming experience or familiarity
- Interest in AI, machine learning, or software quality
- Detail-oriented and methodical approach to testing and validation
- Willingness to learn through hands-on experience
What We Do
SAGEA is a frontier AI research and technology company building foundational models and tailored artificial intelligence systems for language, vision, and voice. It combines research in multimodal intelligence and model efficiency with applied AI services, enterprise infrastructure, and products such as identity infrastructure, Document AI, and real-time voice intelligence. Its mission is to help organizations solve difficult problems and safely deploy high-performance AI in regulated sectors.
