Job Description:
micro1 is the end-to-end human data infrastructure behind AGI. Our AI recruiter model is used by frontier AI labs and Fortune 10s to source, vet, and deploy PhDs and professors from the world’s top universities at scale. These experts are placed directly into the training loops of the most advanced AI systems, powering the breakthroughs that move models forward.
What You’ll Do
You’ll help design, build, and ship production systems end-to-end. This is a hands-on role for someone who’s comfortable owning features from UI to infra, moving fast, and making good tradeoffs under real constraints. You’ll work closely with a small, senior, remote team to turn rough ideas into reliable software.
Responsibilities
- Build and evolve frontend systems using React, Next.js, TypeScript, and modern CSS frameworks.
- Design and ship Python backends (FastAPI / Flask), including secure, high-performance APIs and services.
- Own data modeling and performance for PostgreSQL—schemas, queries, indexing, and migrations.
- Integrate internal and external APIs to power core product workflows.
- Deploy and operate services on AWS (EC2, S3, CloudFront, Route 53, Lambda).
- Maintain high engineering standards around testing, code quality, observability, and documentation.
- Communicate clearly and directly—written and verbal—in a fast-moving, async, remote environment.
What We Look For
- Strong experience with React + Next.js (SSR, SSG, routing) and TypeScript.
- Deep frontend fundamentals and a track record of building clean, maintainable UIs (Tailwind, styled systems).
- Solid backend experience in Python, including async patterns and service-oriented architectures.
- Comfort with modern state management (Redux Toolkit, Zustand, React Query).
- Practical knowledge of PostgreSQL performance and schema design.
- Experience running real workloads in AWS and configuring production infrastructure.
- Clear thinker, strong communicator, low-ego collaborator.
Nice to Have
- Experience working with LLM APIs or AI-driven product features.
- Exposure to prompt engineering, AI workflows, or automation pipelines.
- Familiarity with agentic systems, multi-step reasoning, or tool-using models.