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Kognitos

No-code automation for complex workflows

Software Engineer Intern - AI-Native

Software EngineeringConfirmed live in the last 24 hours
Internship · Fall 2026San Jose, CA, USA$17.31 - $23.08 /hrIn-person

About the Job

Requirements

  • Currently pursuing a degree in Computer Science or a related field, or have equivalent experience.
  • Have strong programming fundamentals in Python, JavaScript, or a similar language.
  • Be comfortable building with modern development tools and workflows.
  • Be familiar with Git and collaborative development.
  • Have a solid understanding of core computer science concepts, including data structures, algorithms, and systems basics.

Responsibilities

  • Build and ship features end-to-end with the engineering team.
  • Use AI-native tools such as Claude and Cursor 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.

Desired Qualifications

  • Experience using AI coding tools such as Claude Code, Cursor, or Copilot.
  • Have built projects using large language models, application programming interfaces, or automation workflows.
  • Be familiar with modern web stacks such as React and Node.
  • Have exposure to cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure.
  • Have prior internship, startup, or side-project experience.

About the Company

Kognitos

No-code automation for complex workflows

Kognitos provides an automation platform that handles both structured and unstructured data, enabling businesses to automate complex processes and high-volume transactions. It uses Generative AI and a Human Language Interpreter so users can teach the system to handle exceptions using natural language, without writing code. The platform combines data processing and workflow orchestration to execute automated steps across documents and data, with a focus on easy exception handling. Its goal is to reduce manual work and operating costs by offering a scalable, user-friendly automation tool that simplifies the Automation Development Lifecycle for industries like logistics and supply chain.

Company size
51-200
Company stage
Series B
Total funding
$53.4M
Headquarters
Mountain View, CA
Founded
2021

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