Backend AI & Data Pipeline Engineer

Great internships are not only the ones that prepare you for the work you hope to do after completing your studies, but they are also the ones that help you realise what work you’re currently best suited for and where you might really fit in the working world. We are looking for a Backend AI & Data Pipeline Engineer to own the end-to-end data processing infrastructure that powers Yuzee's intelligent course and job matching platform.

Requirements

• 1+ years of backend engineering experience focused on data pipelines, ML infrastructure, or search systems
• Hands-on experience with AWS serverless and container services — Lambda, ECS Fargate, EventBridge, and Step Functions
• Strong Python skills — Pandas, async processing, bulk database operations, and text cleaning
• Familiarity with vector databases and semantic similarity search; MongoDB Atlas Vector Search experience is a strong plus
• Cost-conscious infrastructure mindset — you think in per-record compute costs, free tiers, Spot resilience, and right-sizing
• Ability to document and communicate complex architecture clearly to both technical and non-technical stakeholders

Benefits

• Work from home for the whole internship period
• Reference letter can be requested upon completion of internship
• Flexibility with working time aside from the usual 9am to 6pm
• Possibility of retainment for part-time or Full-time work post-internship based on your performance