Software Engineer, Intern

Nooks•San Francisco, CA

2d•Hybrid

About The Position

Nooks is an applied AI lab building revenue agents that automate work across the revenue lifecycle, including account strategy, prospect research, outreach, and deal execution. As a Software Engineer, you will work across the stack with product, design, and customers to build and ship features that make a measurable impact. Engineers take ownership of projects from idea through production, monitoring, and iteration, and contribute to the development of AI-native enterprise software. The role involves building products for agent development, real-time collaboration, enterprise workflows and automations, and human-agent interaction, as well as improving platform performance, reliability, scalability, and agent efficiency. You will work alongside experienced engineers and progressively take ownership of customer and product outcomes.

Requirements

Be completing or have recently completed a Bachelor's or Master's degree in Computer Science or a related technical field.
Have built software and agents through internships, research, open source, startups, or personal projects.
Be able to persevere through difficult problems.
Care about the impact of products on the people who use them.
Be eager to learn new technologies and apply them to solve problems.
Thrive in fast-moving environments where engineers take ownership and make product decisions.
Collaborate with teammates, be truth-seeking and low-ego, and communicate technical ideas clearly.
Be able to work from the San Francisco or Seattle offices.

Nice To Haves

Experience with React, TypeScript, Node.js, or Python.

Responsibilities

Design, build, and ship software using React, TypeScript, Node.js, and Python.
Own projects from the initial idea through deployment, monitoring, and iteration.
Work directly with customers to understand their problems and turn feedback into product improvements.
Build products for agent-building, real-time collaboration, enterprise-scale workflows and automations, and human-agent interaction.
Improve platform performance, reliability, and scalability.
Develop low-latency voice AI for live calls and live coaching.
Work across the agent development lifecycle, from agent-building to simulations, evaluations, monitoring, and feedback loops.
Improve agent efficiency and cost through better agent design and context engineering.
Write clean, maintainable code and contribute thoughtful feedback and code reviews.