United States onlyJob Description
Job Title: Fullstack Developer
Job Type: Full-time
Location: Remote (Must overlap PST timezone at least 6-8 hours)
Job Summary
This is a high-ownership fullstack role where you’ll contribute to — and grow into owning — core product surfaces end-to-end. You’ll primarily work on building and improving Zara, our AI Recruiter agent, shaping how it operates, scales, and delivers value to users.
What You’ll Own
Contribute to the design and development of end-to-end fullstack systems powering core product workflows.
Build clean, scalable backend services and APIs with clear contracts and ownership.
Develop high-quality, performant frontend interfaces that ship directly to users.
Participate in data modeling and database performance optimization (schema design, query tuning, maintainability).
Collaborate closely with product and design to translate ambiguous requirements into shipped systems.
Uphold engineering quality through code reviews, testing, and continuous improvement.
Help debug and resolve production issues; contribute to improving reliability and observability.
Learn to make pragmatic tradeoffs between speed and correctness in a fast-moving AI lab environment.
Preferred Background
Experience building or contributing to production fullstack systems (internships, projects, or professional experience).
Strong TypeScript fundamentals across frontend and/or backend.
Familiarity with backend development using Node.js (NestJS is a plus).
Experience building user interfaces with React or similar frameworks.
Understanding of relational databases such as PostgreSQL and basic data modeling principles.
Familiarity with RESTful APIs and how systems communicate at scale.
Exposure to cloud platforms like AWS (or similar).
Awareness of modern architectures (microservices, serverless, or event-driven systems).
Curiosity, ownership mindset, and strong attention to detail.
Nice to Have
Experience with CI/CD, infrastructure as code, or DevOps workflows.
Experience building or contributing to production-grade systems.
Exposure to AI-adjacent, data-heavy, or ML-powered products.
Experience working in fast-paced, ambiguous environments (startup, lab, or similar).
Regional Hiring Notes
This role is being hired in parallel across multiple regions due to coverage needs, compliance requirements, and time-zone alignment. Responsibilities and expectations are identical; employment terms vary by region.
