Software Engineer, Full Stack

What You'll Do

• Ship full-stack features as part of a Pod, working alongside senior engineers using technologies like Node.js, React, Golang, MongoDB, ElasticSearch, and AWS
• Build and maintain APIs, and learn how to integrate with external services and databases the right way, with an eye toward data integrity and security
• Build front-end interfaces with growing attention to user experience, responsiveness, and accessibility
• Get exposure to AI-powered feature development and start contributing to it as your skills grow
• Work closely with product managers and more senior engineers to understand requirements, and start forming your own opinions on design and UX along the way
• Write unit and integration tests, and build the habit of testing thoroughly from the start of your career
• Participate in code reviews, both giving and receiving feedback, as a core part of how you grow
• Share in production support responsibilities on a rotating basis, including on-call and bug triage, so you learn what it really takes to run software in the real world
• Explore new AI tools and full-stack techniques, and bring what you learn back to the team
• Ramp up on unfamiliar parts of the codebase using AI tooling, documentation, and the people around you, and get comfortable asking questions early and often

Qualifications

• A Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent hands-on experience through projects, internships, or bootcamps
• A genuine passion for software craft – this might show up as personal projects, open source contributions, hackathons, or just a track record of building things because you wanted to see if you could
• Solid fundamentals in data structures, algorithms, and how systems actually work under the hood – you don't need to be an expert yet, but you should be curious and eager to go deeper
• Comfort with both frontend and backend work, or a strong foundation in one with real interest in learning the other
• Some hands-on experience with modern AI developer tools, such as Cursor or Claude Code, or a strong interest in building a real working practice around them
• The instinct to read the README, trace the code, ask sharp questions, and start contributing quickly, even in unfamiliar territory
• A mindset of ownership. You care about what you ship, not just about closing the ticket

Nice-to-Haves

• Personal projects or coursework involving AI or ML-powered features, even at a prototype level
• Any exposure to third-party AI APIs or frameworks (e.g., OpenAI, Anthropic, LangChain, or vector databases like Pinecone)
• A GitHub profile that shows real curiosity: side projects, contributions to open source, or code you built just because you wanted to learn something
• A demonstrated love of learning new tools and techniques, and a habit of sharing what you find with others

Compensation

$90K - $115K + equity. The compensation range provided is an estimate. Actual compensation is determined based on job level, interview performance and alignment with the skills and applicable experience needed for this role.