Software Engineer Intern (AI-Native) - Summer 2026
ExternalFull-timeOn-site2mo ago
AWSAzureGCPGitJavaScriptLLMs
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Responsibilities
- Build and ship features end-to-end with the engineering team
- Use AI-native tooling (Claude, Cursor, etc.) to accelerate development workflows
- Write clean, maintainable, and well-documented code
- Participate in code reviews and technical discussions
- Debug issues and improve system performance
- Contribute to projects across AI, automation, and data systems
- Move quickly, test ideas, and iterate in a fast-paced environment
Requirements
- Currently pursuing a degree in Computer Science or a related field (or equivalent experience)
- Strong fundamentals in programming (Python, JavaScript, or similar)
- Comfortable building with modern dev tools and workflows
- Familiar with Git and collaborative development
- Solid understanding of core CS concepts (data structures, algorithms, systems basics)
- Strong problem-solving ability and curiosity
- Clear communicator and team-oriented
- Bonus Points
- Experience using AI coding tools (Claude Code, Cursor, Copilot, etc.)
- Built projects using LLMs, APIs, or automation workflows
- Familiarity with modern web stacks (React, Node, etc.)
- Exposure to cloud platforms (AWS, GCP, Azure)
- Prior internship, startup, or side project experience
- Final note
- You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
- Equal opportunities provider
Benefits
Performance bonus
Additional Information
Software Engineer Intern (AI-Native) - Summer 2026 We're looking for engineers who don't just use AI tools - you build with them. At Kognitos, you'll work on real product problems using tools like Claude Code, Cursor, and other AI-assisted workflows. You'll ship fast, learn faster, and operate in a highly iterative environment alongside experienced engineers. This is not a "watch and learn" internship - you'll be writing production code, contributing to core systems, and helping shape how we build.
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