Software Engineer, Data Platforms (Core Team)

The software engineering paradigm is shifting faster than ever. We have moved past traditional CRUD applications and isolated codebases into an era where artificial intelligence agents act as primary development workflows. Engineers are no longer just writing lines of code sequentially; they are architecting systems, directing parallel coding agents, and building the robust data pipelines required to train frontier AI models.

At the forefront of this AI-native transformation is micro1, the leading AI data lab powering training data, evaluations, and human-in-the-loop feedback loops for frontier models. To scale its core infrastructure, micro1 is actively hiring for a full-time, remote Software Engineer, Data Platforms. Offering a lucrative total compensation package ranging from $200,000 to $280,000 per year (comprising a base salary of $120,000–$160,000, equity compensation, and performance bonuses), this role sits precisely at the intersection of traditional full-stack development and cutting-edge AI research engineering.

Whether you are an ambitious engineer looking to master AI-native workflows or a seasoned developer eager to build the underlying architecture of human intelligence labs, this comprehensive guide covers the job specifications, technical requirements, day-to-day responsibilities, and a clear roadmap for submitting a winning application.

The Evolution of Engineering: Why AI-Native Platforms Matter

Traditional software engineering roles often confine developers to rigid ticket-clearing workflows, maintaining legacy codebases, or writing repetitive boilerplate components. In contrast, AI-native platforms like micro1 require engineers who think in terms of outcomes, leverage autonomous coding agents, and iterate rapidly to ship production-ready systems.

micro1’s data platforms are the backbone of how human expertise is collected, vetted, and transformed into high-quality training datasets for frontier AI models. As a Software Engineer on the Data Platforms core team, you won't just build internal tools—you will own the entire architecture that enables global experts across finance, healthcare, and STEM engineering to contribute meaningful data that shapes how next-generation AI systems learn and reason.

What You Will Own and Build:

• End-to-End Fullstack Delivery: Design and ship robust features across backend APIs, data pipelines, and responsive React frontends.
• Platform Infrastructure & Data Delivery: Own client-facing data delivery, robust exports, access control policies, and system reliability.
• Agent-Driven Development: Scope work around clear outcomes, direct coding agents (frequently in parallel), review generated changes at the architecture level, and iterate until production-ready.
• Backend & Database Architecture: Build and maintain high-performance services in Python (FastAPI) and TypeScript while optimizing data modeling and query performance across relational and document databases.
• Cross-Functional Collaboration: Partner closely with research engineers, operations, and product teams to translate evolving platform needs into scalable production systems.
• Framework Optimization: Continuously improve the frameworks, validation checks, and evaluation pipelines that make agent-driven development faster without sacrificing software quality.

What micro1 Looks For in Candidates

micro1 maintains rigorous technical standards while actively valuing modern engineering agility and practical execution over rigid years-of-experience gatekeeping:

• Educational Foundation: A Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field (or equivalent practical experience).
• Experience Range: 0 to 5 years of professional software engineering experience, or a strong portfolio of shipped projects for recent graduates.
• Core Language Fluency: Strong fundamentals in Python and TypeScript, with hands-on experience building CRUD applications using frameworks such as FastAPI, Flask, and React.
• Database & Cloud Competency: Working knowledge of databases like PostgreSQL, MongoDB, or SQLite, paired with experience deploying services on major cloud platforms (AWS, GCP, or Azure).
• Advanced Agent Integration: Proven fluency with coding agents and an understanding of agent loops, Model Context Protocol (MCP), tool/data integrations, permissions, context management, RAG, and evals.

Preferred Nice-to-Haves:

Exposure to Reinforcement Learning (RL) concepts, task-authoring platforms, CI/CD pipelines, DevOps fundamentals, and open-source contributions will give applicants an edge during the vetting process.

Comprehensive Compensation, Benefits, and Remote-First Culture

micro1 is committed to supporting a high-performing, remote-first workforce through industry-leading compensation structures and wellness benefits:

• Competitive Compensation: Base salary range of $120,000 to $160,000 per year, complemented by equity compensation and performance-based bonuses, bringing total compensation to $200,000 – $280,000/yr.
• Comprehensive Health Coverage: Up to 100% reimbursement for health-insurance premiums, ensuring robust medical security.
• Work-Life Balance: Generous paid time off (PTO) and a 401(k) plan featuring a company match.
• Remote Autonomy: Enjoy the freedom of a remote-first culture while collaborating with world-class engineering and research talent across borders.

Step-by-Step Guide to Applying Successfully

Because micro1 utilizes an AI-assisted recruitment vetting process designed to evaluate technical depth and practical execution efficiently, following a structured application approach is crucial:

1. Highlight Your Agent-Driven Projects: Emphasize your hands-on experience with modern coding assistants (Cursor, Claude Code) and how you leverage them to ship production code faster.
2. Showcase Full-Stack Proficiency: Clearly detail your experience with Python (FastAPI), TypeScript, React, and relational database design.
3. Complete the Application Thoroughly: Ensure all questions in the micro1 application portal are answered precisely, and include links to your GitHub, portfolio, or shipped projects.

Take the next major leap in your software engineering career by joining the core team building the infrastructure of frontier AI.