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EngineeringNot provided by source

Software Engineer Intern (AI-Native) - Fall 2026

Kognitos · Not provided by source

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Last seen by MeritLog September 11, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Kognitos's Ashby job board and last checked it on September 11, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model
Not provided by source
Salary
$3,000 - $4,000
Location
San Jose - HQ
Company website
www.kognitos.com

Hiring context

How this role compares at Kognitos

Kognitos has 7 live roles in MeritLog’s catalog across 2 job families, and 5 of them are in engineering. 2 of those listings publish a pay range, a disclosure rate of 29%.

Kognitos concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

  • 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
  • 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

What they're asking for

  • Experience using AI coding tools (Claude Code, Cursor, Copilot, etc.)SkillPreferred
  • Built projects using LLMs, APIs, or automation workflowsSkillPreferred
  • Familiarity with modern web stacks (React, Node, etc.)SkillPreferred
  • Exposure to cloud platforms (AWS, GCP, Azure)SkillPreferred
  • Prior internship, startup, or side project experienceSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

Software Engineer Intern (AI-Native) - Fall 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. What You’ll Do - 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 What We’re Looking For - 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 Kognitos is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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