Software Engineering Intern

Heyaristotle; San Francisco (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

Heyaristotle in San Francisco is seeking a talented product developer to ship core features for our tutoring platform. You will work closely with founding engineers on projects that enhance learning through voice and vision technology.

The ideal candidate will demonstrate proficiency in TypeScript/Node and Python, alongside a self-directed learning mindset. Join us in creating innovative tools that support real-time tutor intervention.

Qualifications

• Proficiency in TypeScript/Node, Python, or similar.
• Experience shipping projects through school, internships, or hackathons.
• Ability to work with infrastructure-as-code, APIs, and LLM tools.

Responsibilities

• Build realtime tutoring interfaces that display cognition.
• Develop lesson-plan agents that adjust pacing based on progress.
• Optimize LLM infrastructure for sub-second latency.
• Create internal debugging tools for transcript playback.

Skills

Proficiency in TypeScript/Node

Proficiency in Python

Experience with APIs

Self-directed learning mindset

Job description

Ship core product features including voice, vision tutoring, and LLM orchestration.

The Role

Ship core product features alongside our founding engineers—voice + vision tutoring loops, realtime LLM orchestration, and the infra that keeps sessions sub-second.

Expect to spec, build, and launch end-to-end projects: agents that manage lesson plans, memory systems that persist across weeks, or UI that helps tutors debug cognition in real time.

What you'll do

• Build realtime tutoring interfaces that display cognition and suggested interventions.
• Develop lesson-plan agents that adjust pacing based on student progress.
• Optimize LLM infrastructure to maintain sub-second latency while managing context and tool use.
• Create internal debugging tools for transcript replay and model comparison.

What we're looking for

• Proficiency in TypeScript/Node, Python, or similar with stack-wide curiosity.
• Demonstrated shipping experience through school projects, internships, open-source, or hackathons.
• Ability to work with infrastructure-as-code, APIs, and LLM tools.
• Self-directed learning mindset with receptiveness to feedback and rapid iteration.