Software Engineer (Zara)

About micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.

Job Description

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

1. Contribute to the design and development of end-to-end fullstack systems powering core product workflows.
2. Build clean, scalable backend services and APIs with clear contracts and ownership.
3. Develop high-quality, performant frontend interfaces that ship directly to users.
4. Participate in data modeling and database performance optimization (schema design, query tuning, maintainability).
5. Collaborate closely with product and design to translate ambiguous requirements into shipped systems.
6. Uphold engineering quality through code reviews, testing, and continuous improvement.
7. Help debug and resolve production issues; contribute to improving reliability and observability.
8. Learn to make pragmatic tradeoffs between speed and correctness in a fast-moving AI lab environment.

Preferred Background

1. Experience building or contributing to production fullstack systems (internships, projects, or professional experience).
2. Strong TypeScript fundamentals across frontend and/or backend.
3. Familiarity with backend development using Node.js (NestJS is a plus).
4. Experience building user interfaces with React or similar frameworks.
5. Understanding of relational databases such as PostgreSQL and basic data modeling principles.
6. Familiarity with RESTful APIs and how systems communicate at scale.
7. Exposure to cloud platforms like AWS (or similar).
8. Awareness of modern architectures (microservices, serverless, or event-driven systems).
9. Curiosity, ownership mindset, and strong attention to detail.

Nice to Have

1. Experience with CI/CD, infrastructure as code, or DevOps workflows.
2. Experience building or contributing to production-grade systems.
3. Exposure to AI-adjacent, data-heavy, or ML-powered products.
4. 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.