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JU

Software Engineer - Product (Mid to Senior)

Julius
Posted 1 weeks ago
🇺🇸United States🏠Remote📁Engineering & Development
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Compensation: Competitive base salary and meaningful equity Benefits: Health & dental insurance, gym reimbursement, daily team meals, commuter benefits We are an early stage applied AI startup building agents that automate knowledge work with code. We’re on a mission to enable one billion humans to become software creators, and we are starting with a focus on data science and analysis use cases. Today, Julius writes and executes 1 million lines of code every 36 hours, has served over 1 million users and generated over 3 million data visualizations. We're a small technical team with experience from Uber, Facebook and Scale AI. We're making revenue and we're backed by some of best investors like AI Grant, YCombinator, Bessemer Venture Partners and founders of Vercel, Notion, Perplexity, Palantir, Replit, Zapier, Intercom, Dropbox and researchers from OpenAI and Google DeepMind. Building intuitive and performant user interfaces is critical to making Julius easy to use for over 1 million users. Our interface has several moving parts including tool use, multi-step reasoning, code generation, code execution, file and secrets management, and more. You will get to define and build the experiences for all of these as we scale to our future milestones. What you'll do: Build products that bring AI capabilities to millions of people Design and implement intuitive, responsive, and performant user interfaces Optimize application performance and ensure cross-browser compatibility What we're looking for: 3+ of experience with React, Next.js, Tailwind CSS Strong understanding for frontend frontend primitives: component architecture, state management, streaming UIs, and performance profiling Experience scaling applications and backend systems, have experience with relational databases, caching, background jobs, and auth. Examples of live projects or products you've built Bonus points: You have built an AI side project before, and like prompting and playing with LLMs

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