-roles/full-stack-engineer-ai-first
\n \nCompany 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
\ns to own.
\nFull-Stack Engineer (AI · systems · data · UX-first)
\nRockstar full-stack engineers who are AI-, systems-, data-, and user-experience-first - all at once.
\n \nAbout the role:
\n \nYou 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.
\n \nWhat you’ll do:
\n \nBuild Agent One features end to end - from data and agent runtime to a UX that feels inevitable
\nMake AI a first-class material: tools, memory, evals, and the consent layer underneath
\nDesign data systems that are fast, private, and correct - receipts, least privilege, minimal disclosure
\nObsess over latency, accuracy, and control; instrument outcomes so we don't fool ourselves
\nWrite small, modular, legible code others could lift on its own
\n \nWhat we need to see:
\n \nYou have shipped and owned production full-stack work, front to back, for real users
\nHands-on LLM and agent work: tool use, context handling, and the evals that keep it honest
\nTaste in interface, not just capability: you can tell when something is technically correct and still bad
\nYou debug across boundaries rather than escalating at the edge of your usual layer
\n \nNice to have:
\n \nOn-device or edge inference experience, since much of our compute is on hardware the user owns
\nYou have worked somewhere with a real privacy or consent constraint, not just a policy page
\nOpen-source work anyone can read
\n \nWhat winning looks like:
\n \nFeatures shipped that move activation and weekly-active retention
\nLatency, accuracy, and quality budgets met
\nCode others reuse; low defect and regression rate
\nWhere and how we work
\nWe 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.
\n \nRole 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
\nitecture.
\nQualifications
\n \nApply on our careers page: -roles/full-stack-engineer-ai-first. As part of the interview process, please use the hussh app (one.hussh.ai) and give us your feedback.
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