Fullstack Developer (Python/React) at Micro1 | Torre

Fullstack Developer (Python/React)

You'll build AI-powered products across the stack to help match 1 billion people with their dream roles.
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Full-time

Legal agreement: Contractor

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Compensation
USD50 - 70/hour
Non-negotiable
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Remote (anywhere)
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Posted 9 days ago

Requirements and responsibilities


Micro1 is hiring a full-stack developer for a full-time remote role. This is a strong opportunity for engineers who want to work across the stack and contribute to AI-powered product development in a fast-moving remote environment. Role Details: - Job type: Full-time. - Location: Remote. - Timezone requirement: Must overlap with PST by 6–8 hours. - Compensation: $50–$70/hr. - Openings: 1. Required Skills: - Python. - React. - TypeScript. - AWS. - PostgreSQL. What You’ll Do: - Build scalable backend APIs using Python and FastAPI. - Develop frontend interfaces using React, Next.js, and TypeScript. - Support the integration of LLMs and AI agents into the platform. - Improve backend performance, concurrency, and system scalability. - Write and optimize SQL queries and contribute to reliable data operations. - Help maintain clean, modular, and maintainable code. - Collaborate with a small, senior remote team to ship high-quality features quickly. What They’re Looking For: - Experience building frontend applications with React. - Experience building backend services with Python. - Solid understanding of SQL and backend logic. - Familiarity with APIs, service-oriented architecture, and cloud platforms like AWS. - Strong communication, problem-solving skills, and a collaborative mindset. - Curiosity, ownership, and willingness to learn in a fast-paced environment. Nice to Have: - Experience working with LLM APIs. - Exposure to prompt engineering or AI workflows. - Familiarity with agentic systems, automation pipelines, or reasoning models. - Experience contributing to production systems through work, internships, or strong projects. This role is especially interesting for developers who want to strengthen their full-stack skills while gaining more exposure to AI systems in production.

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