Description:

The Software Engineering Intern will work closely with the founding team to design, prototype, and scale components of an AI-native productivity assistant.
This internship is a hands-on opportunity that combines systems design thinking with AI engineering fundamentals, contributing directly to the architecture and functionality of production-bound technology.
Interns will collaborate with engineers to design and implement core infrastructure and backend components.
Responsibilities include developing core features across the AI stack, building diagnostic tools, writing test cases, and implementing monitoring systems for reliability.
Interns will contribute to the design and improvement of agent reasoning and execution pipelines and participate in product and architecture discussions.
The role involves documenting bugs, issues, and edge cases to help refine and stabilize the platform for launch-readiness.

Requirements:

Candidates must be currently pursuing a BS, MS, or PhD in Computer Science, AI, or a related field, or have equivalent experience.
A strong foundation in software engineering and systems design thinking is required, with an enjoyment of reasoning about architecture, scalability, and tradeoffs.
Experience with programming languages such as Python, JavaScript, or Go is necessary; familiarity with AI frameworks like LangChain or LlamaIndex is a plus.
Candidates should have an interest or prior experience in agent development, LLM APIs, or applied AI engineering.
A passion for early-stage environments and fast-paced, iterative work is essential.
Availability for full-time work during one academic quarter or semester in Winter/Spring/Summer 2026 is required.

Interns will receive direct mentorship from experienced AI and systems engineers.
There is an opportunity to work on cutting-edge agentic AI technology in a startup environment.
Interns will have end-to-end ownership of meaningful projects that may evolve into core product features.
Exposure to startup operations, product iteration, and the engineering culture of an early-stage team will be provided.

Skills