Engineering the Human Intelligence Layer: Inside micro1’s Full-Time Remote Software Engineer, Internal Platforms Role ($120K–$160K/Year + Equity)

The explosive growth of frontier artificial intelligence models and autonomous agents has created an unprecedented engineering challenge. While public attention focuses primarily on model weights and user-facing chat interfaces, the true bottleneck in scaling AI innovation lies in internal operational infrastructure. Companies building the human intelligence layer for AI need robust, highly performant internal developer platforms, reliable data pipelines, and scalable workflow automation systems.

micro1—the leading AI data lab powering frontier model training and agent evaluations—is expanding its core engineering team with a high-impact, full-time remote opening: the Software Engineer, Internal Platforms role. Offering a competitive base salary of $120,000 to $160,000 USD per year coupled with equity compensation, comprehensive benefits (including up to 100% health insurance premium reimbursement and 401(k) matching), and total location independence, this position is engineered for ambitious fullstack developers who thrive in high-ownership, fast-moving environments.

Whether you are looking to transition into the fast-paced AI infrastructure sector, take full end-to-end ownership of core internal systems, or collaborate with top-tier technical talent building the future of machine learning, this comprehensive guide explores the role's core responsibilities, technical stack, compensation breakdown, and a clear roadmap for completing your application successfully.

The Mission: Building Internal Developer Infrastructure for AI Scale

Scaling a global expert network to train and evaluate AI models requires massive operational throughput. As micro1 rapidly expands its network of specialized professionals across finance, healthcare, STEM engineering, and law, the internal systems powering vetting, data ingestion, evaluation loops, and task routing must scale seamlessly without friction.

As a Software Engineer on the Internal Platforms core team, you will not be writing isolated features in a silo; you will own critical operational infrastructure end-to-end. Your code directly empowers internal operations teams, product managers, and external expert contributors by removing technical bottlenecks and ensuring ultra-high platform reliability and observability.

What You Will Own and Build:

• End-to-End Fullstack Architecture: Design, develop, and scale fullstack systems powering critical internal workflows, vetting pipelines, and platform capabilities.
• Scalable Backend Services & APIs: Build clean, modular backend services with clear contracts, utilizing TypeScript, Node.js (with NestJS familiarity a strong plus), and secure RESTful APIs.
• Performant Frontend Interfaces: Create intuitive, high-performance user interfaces in React that internal stakeholders and operations teams rely on daily.
• Database Optimization & Schema Design: Participate actively in relational database modeling, schema design, and query tuning using PostgreSQL to maintain high data integrity under heavy loads.
• Cross-Functional Collaboration: Partner closely with product, design, and operations teams to translate ambiguous requirements into concrete, highly scalable technical systems.
• Reliability & Observability: Improve developer experience, platform reliability, and system observability by establishing robust testing standards, CI/CD pipelines, and proactive monitoring practices.

Required Qualifications and Technical Proficiencies

Because micro1 builds cutting-edge AI infrastructure, engineering standards are exceptionally high. Candidates are evaluated on both technical execution and problem-solving mindset:

• Fullstack Engineering Experience: Demonstrated professional experience, internships, or robust personal project history building and maintaining production-grade fullstack systems.
• TypeScript & Modern Frameworks: Strong TypeScript fundamentals spanning both frontend and backend development, alongside proficiency in React and Node.js ecosystems.
• Relational Database Expertise: Solid understanding of relational databases, specifically PostgreSQL, alongside core data modeling and query optimization principles.
• Cloud & Distributed Architecture: Familiarity with cloud infrastructure platforms such as AWS, RESTful communication patterns, and modern microservices or event-driven architectures.
• Preferred Backgrounds: Prior experience building internal developer platforms (IDPs), operational dashboard tooling, CI/CD automation, or working within high-growth startup and AI-adjacent environments.

Compensation, Benefits, and Remote Culture

micro1 is committed to supporting a high-performing, remote-first workforce through a comprehensive and competitive compensation and benefits package:

• Base Salary Range: $120,000 – $160,000 USD base salary, commensurate with experience and technical impact.
• Equity Compensation: All full-time employees are eligible for equity grants, allowing you to share directly in the long-term growth and success of the company.
• Performance Bonuses: Role-dependent performance incentives tied to key engineering and operational milestones.
• Robust Benefits Suite: Comprehensive health insurance coverage featuring up to 100% premium reimbursement, paid time off (PTO), and a 401(k) retirement plan with company matching.
• Total Flexibility: Work remotely from anywhere with a culture that emphasizes asynchronous communication, high ownership, and continuous engineering improvement.

Step-by-Step Guide to Completing Your Application Successfully

micro1 leverages an innovative, AI-assisted recruitment pipeline designed to identify top-tier engineering talent quickly and fairly. Follow these steps to maximize your chances of getting hired:

1. Highlight Production Fullstack Projects: Ensure your resume or portfolio prominently showcases your hands-on experience with TypeScript, React, Node.js, and PostgreSQL in production environments.
2. Emphasize System Ownership: In your application materials, focus on instances where you took end-to-end ownership of internal tools, scaling bottlenecks, or developer productivity workflows.
3. Complete the Application Promptly: Use the official application link below to submit your details. Be thorough and clear in your responses to ensure the AI recruiter accurately evaluates your technical depth.
4. Engage with the Assessment: Prepare for technical evaluations that test practical fullstack problem-ရှင်-solving, system design trade-offs, and clean code principles.

Step into a high-ownership engineering role where your code directly accelerates the future of artificial intelligence infrastructure.