Leverage AI-native engineering practices, including AI-assisted development, agentic programming, and harness engineering, to accelerate delivery while writing clean, maintainable, and well-tested code with strong ownership of quality through reviews and documentation
On-site in-person recruitment drive starts from 9 October - 6 November 2026Responsibilities· Research and recommend the best approach to solve a given problem· Take part in the research, design, development, deployment, and monitoring of cross-platform AutoCAD features – bringing a centralized backend perspective to the table· Adopt of best practice and market-standard technologies and methodologies· Collaborate with colleagues both inside and outside of the teamThis internship might be for you if:· You are passionate about software development and technologies· You are comfortable working in newly forming ambiguous areas where learning and adaptability are key skills· You love the exposure to develop scalable cloud service on scalable AWS infrastructure· You are great at communicating your findings both orally and visually· You have strong interpersonal skills and ability to work effectually as a member of team with minimal supervisionMinimum Qualifications· You must be enrolled in a full-time Bachelor's Program in Computer Science or Engineering or other relevant fields
Partner with ML scientists to build and maintain MLOps pipelines — including model versioning, deployment, serving, and monitoring — ensuring new models are reliably delivered to production.