Full Stack Engineer

https://careers.hushh.ai/open-roles/full-stack-engineer-ai-first

Company Description hussh 🤫 builds private AI that is owned and controlled by the individual, not by the company or advertisers. The product combines “One Agent,” a set of lifelong AI helpers that securely manage personal documents, communications, and everyday tasks, with “One Puppy,” a dedicated home device that runs these agents locally to keep data under the user’s roof.

The company was founded after a personal experience with identity theft, driving a mission to ensure people always know who is accessing their information and can decide what is shared. hussh 🤫 aims to make AI genuinely useful at scale while preserving personal control, privacy, and transparency. The core belief is that AI agents should be truly your

s to own. Full-Stack Engineer (AI · systems · data · UX-first)

Rockstar full-stack engineers who are AI-, systems-, data-, and user-experience-first - all at once.

About the role

You build the product people actually touch, across the whole stack, on a team small enough that the thing you ship on Tuesday is in front of users by Friday. This is AI-first work in the literal sense: the agent runtime, the data underneath it, and the interface on top are one problem, and you will work on all three rather than being handed a slice.

What you’ll do

Build Agent One features end to end - from data and agent runtime to a UX that feels inevitable

Make AI a first-class material: tools, memory, evals, and the consent layer underneath

Design data systems that are fast, private, and correct - receipts, least privilege, minimal disclosure

Obsess over latency, accuracy, and control; instrument outcomes so we don't fool ourselves

Write small, modular, legible code others could lift on its own

What we need to see:

You have shipped and owned production full-stack work, front to back, for real users

Hands-on LLM and agent work: tool use, context handling, and the evals that keep it honest

Taste in interface, not just capability: you can tell when something is technically correct and still bad

You debug across boundaries rather than escalating at the edge of your usual layer

Nice to have:

On-device or edge inference experience, since much of our compute is on hardware the user owns

You have worked somewhere with a real privacy or consent constraint, not just a policy page

Open-source work anyone can read

What winning looks like:

Features shipped that move activation and weekly-active retention

Latency, accuracy, and quality budgets met

Code others reuse; low defect and regression rate

Where and how we work

We work in the office together five days a week, in one of our garages. Remote work is available only by exception, arranged individually around specific circumstances.

Role Description This is a full-time, on-site Full Stack Engineer role based in Kirkland, WA. The Full Stack Engineer will design, develop, and maintain end-to-end software solutions that power both the AI agent experience and the home “Puppy” device.

Daily responsibilities include building and integrating front-end interfaces with back-end services, implementing secure APIs, optimizing performance, and ensuring a seamless user experience across web and device environments. The role involves collaborating closely with product, design, and AI engineering teams to translate privacy-first requirements into robust, scalable technical solutions.

The engineer will also participate in code reviews, testing, deployment, and continuous improvement of the overall system arch

itecture.

Qualifications

• Strong Full-Stack Development and Software Development skills, with experience building production-quality applications end to end.
• Proficiency in Back-End Web Development, including designing and implementing APIs, data models, and scalable services.
• Experience in Front-End Development, including modern JavaScript frameworks and solid understanding of Cascading Style Sheets (CSS).
• Solid understanding of security, privacy-by-design principles, and best practices for protecting user data.
• Experience with cloud infrastructure or on-premise systems, containerization, and CI/CD pipelines.
• Ability to work collaboratively in a small, fast-paced team, including clear communication and ownership of projects.
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• Interest in privacy, security, and building user-centric AI products; experience with AI or distributed systems is a plus.