Software Engineer (Zara, AI Recruiter)

Job Title: Software Engineer (Zara) Job Type: Full-time Location: Remote (Must overlap PST timezone at least 6-8 hours) The Role 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.