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Software Engineer Intern (AI-Native) - Summer 2026

External
kognitos logoKognitos · San Jose
Full-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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