As a Software Engineering Intern, you won’t just be working on side projects; you will be contributing to Internal System Design and implementation discussions that directly affect production. You will take ideas from concept to deployment, building unique solutions on AWS Serverless architectures . Your role involves creating scalable backend components and assisting in high-priority proof-of-concepts for new AI feature integrations.
You will gain firsthand experience in Systems Thinking —learning how to build for scale while ensuring resilience under real-world data loads. Working alongside a small, elite backend team, you will be part of architecture and product discussions, gaining a deep understanding of how a top-tier AI startup operates. This internship is designed to build your career credentials while giving you the autonomy to see your code survive real-world “chaos.”
Contribute to core system design and implementation brainstorming sessions.
Develop scalable backend components using AWS Serverless technologies.
Integrate AI features and backend workflows to process customer feedback.
Monitor systems under massive data loads and fix edge-case vulnerabilities.
Participate in design, architecture, and product strategy discussions.
Execute proof-of-concepts for experimental AI tools and features.
Ensure code resilience and performance optimization across all deliverables.
Skills & Eligibility
Mindset: A “Builder” who loves creating from scratch and fixing things when they break.
Technical: Strong fundamentals in Computer Science and systems-level thinking.
Scale: Interest in building for massive data loads and high-concurrency environments.
Autonomy: Ability to take ownership of a feature from conceptualization to deployment.
Curiosity: Eagerness to solve challenges at the intersection of AI, data, and infrastructure .
Collaboration: Strong communication skills and a team-oriented problem-solving approach.
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