Ship user-facing features end-to-end in a modern stack (React, Next.js, TypeScript), from idea to production
Use AI/LLMs as a core part of your development workflow to move faster, prototype quicker, and solve problems that would otherwise take 10x longer
Build and integrate APIs and CLIs connecting Memyard to platforms like Google Drive, GitHub, Figma, and other business-critical tools
Contribute to AI-powered summarization and digest pipelines, working hands-on with LLMs and data parsing. Own features: scope them, build them, ship them, and iterate based on real user feedback
Collaborate with product, design, and AI teams to turn rough ideas into polished, reliable experiences
Build developer tooling, open-source projects, and Claude skills for agentic workflows
Debug, improve performance, and keep the system fast and reliable as we scale

You ship things. You have a portfolio, side projects, or a track record that shows you build and finish things, not just start them
You use AI/LLMs daily. Claude, ChatGPT, Copilot, Cursor, whatever the tool, you already treat AI as a core part of how you write code, debug, and think through problems
You have taste. You care about craft and user experience, and you can tell the difference between something that’s good enough and something that’s actually good
You move fast. You’re biased toward action. You’d rather ship a v1 and iterate than deliberate endlessly
You’re scrappy. You figure things out. You don’t wait for permission, detailed specs, or hand-holding
Familiarity with React, Next.js, and TypeScript (or a willingness to ramp up very quickly)
Working knowledge of APIs, databases, and how web applications fit together end-to-end
Strong communication skills: you can explain your thinking clearly and know when to ask for help
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent hands-on experience)

Entry-level Software Engineer

Key skills