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 yours 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 inevitableMake AI a first-class material: tools, memory, evals, and the consent layer underneathDesign data systems that are fast, private, and correct - receipts, least privilege, minimal disclosureObsess over latency, accuracy, and control; instrument outcomes so we don't fool ourselvesWrite 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 usersHands-on LLM and agent work: tool use, context handling, and the evals that keep it honestTaste in interface, not just capability: you can tell when something is technically correct and still badYou 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 ownsYou have worked somewhere with a real privacy or consent constraint, not just a policy pageOpen-source work anyone can read What winning looks like: Features shipped that move activation and weekly-active retentionLatency, accuracy, and quality budgets metCode others reuse; low defect and regression rateWhere and how we workWe 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 architecture. 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.