Software Engineering Intern, Consumer AI + Devices
Role Overview
This is a software engineering intern role focused on building and maintaining consumer AI applications, involving backend development, AI service integration, and infrastructure setup. The position requires aggressive coding and weekly production deployments, working in a tiny, high-autonomy team with a data-driven, ownership mindset. The hire will impact flagship products by shipping features quickly and promoting engineering best practices.
Perks & Benefits
The role is remote with a hybrid expectation, requiring on-site work a few days a week, likely in a flexible setup. It offers a competitive salary and equity, with high autonomy, daily release cadence, and opportunities for career growth in a stealth product environment. The culture emphasizes fast iteration and ownership, typical of small, dynamic tech teams.
Full Job Description
Build and maintain our new, flagship consumer product.
You’ll own the shared backend, move fast on green-field features, and push code to production every day.
We will also have a connected hardware component to our work- we will integrate 1st party consumer devices (think of input devices with microphones).
We will also build an SDK for OEMs and developers to connect 3rd party devices to our apps.
🚨 Your main job will be to code aggressively and ship quickly with AI
Create and maintain scalable AI and shared services: harnesses, sandbox, tool use, workflows, chat, etc.
Integrate LLMs, CV models, and recommender systems into mobile and web clients
Stand up reliable infrastructure for payments, rewards, order routing, and analytics
Promote engineering best practices in observability, security, and CI/CD
Requirements
We are hybrid, but you must be ok working on-site a few days a week.
Must
You must have meaningful experience coding with AI (Cursor, Claude Code, etc).
You must be fully fluent and keep up with the latest of the modern AI stack
3+ years coding with typescript, node, modern web stack
Nice to have
Experience building automation bots a plus
Experience with the Cloudflare dev stack (D1, R2, DO, agent SDK, etc) or on top of OpenCode, Letta, or other agentic harnesses
Cloud & DevOps depth (Planetscale, Supabase, AWS/GCP, containers, infra-as-code)
How we work
Tiny team
High autonomy, daily release cadence
Data-driven iteration and “build it, run it” ownership mindset
Competitive salary and equity with upside in our stealth product
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