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Kira Learning

Software Engineering Intern

Sorry, this job was removed at 02:23 p.m. (PST) on Thursday, Jun 11, 2026
In-Office
San Francisco, CA, USA
In-Office
San Francisco, CA, USA

Kira is building the AI-native platform for education. We’re rethinking how teaching works by pairing educators with AI systems that can generate content, evaluate student work, and provide personalized feedback at scale. Our products are used by schools, districts, and universities. We’re an early-stage company with real customers, real usage, and a small, high-ownership team.

We’re looking for exceptional fullstack engineering interns to join us for Summer 2026. You’ll work on production systems used by students and teachers, not isolated intern projects. Over 12 weeks, you’ll own and ship a meaningful piece of the product, from initial design through deployment. This role is best suited for candidates who already build things independently and want to operate at a high bar.

What You’ll Work On

Intern projects typically sit directly on critical product paths, such as:

  • AI-powered grading and feedback systems

  • Student and teacher-facing product surfaces (dashboards, workflows)

  • Internal tools used by curriculum and operations teams

  • Infrastructure supporting LLM-based features (evals, prompt iteration, reliability)

You’ll work across the stack:

  • Frontend: TypeScript, React, Next.js

  • Backend: Node, Python

  • Data: APIs, databases, system integrations

What You’ll Do

  • Own a scoped project with a clear user outcome and ship it end-to-end

  • Write production-quality code that is reviewed, tested, and deployed

  • Participate in design discussions and code reviews with the team

  • Work directly with product and design to clarify requirements and tradeoffs

  • Debug real issues and improve system reliability and performance

  • Contribute to AI-powered features where relevant to your project

What We’re Looking For

  • Candidates who already operate at a high level of independence and technical maturity

  • Currently pursuing an undergraduate degree in Computer Science or a related field (returning to school in Fall 2026)

  • Strong fundamentals in data structures, algorithms, and systems

  • Experience building and shipping non-trivial projects end-to-end

  • Comfortable working across the stack (not just frontend or backend in isolation)

  • Clear, structured thinking and strong written communication

  • Experience building fullstack applications or APIs from scratch

  • Exposure to LLMs or interest in building AI-powered systems

  • Evidence of initiative (open source, research, side projects, technical writing)

What You’ll Get

  • Ownership: You will ship meaningful product work used by real users

  • Mentorship in a high-signal environment -- small team, high standards, fast iteration

  • Exposure to product, design, and how real systems evolve

  • Return offer consideration for top-performing interns

Logistics

  • Start date: June 2026 (flexible ±2 weeks)

  • Duration: 12 weeks, full-time

  • Location: New York, NY (in-person)

  • Compensation: Competitive (discussed during process)

  • Must be authorized to work in the U.S. for the duration of the internship

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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