Full-Stack Developer - Python, React, TypeScript & AWS

I’m helping

• *Sabirecruit**

find a top candidate to join their team

• *flexible**

for the role of

• *Full-Stack Developer - Python, React, TypeScript & AWS**

.

• *You'll build and scale AI agent systems, shaping the future of intelligent workflows end-to-end.
• *Compensation:

USD 23K - 28K/project

• *Location:**

Remote (anywhere)

• *Mission of Sabirecruit:**

"To simplify and scale hiring by connecting employers with qualified talent through accessible, efficient, and technology-driven recruitment solutions."

• *What makes you a strong candidate:
• You are proficient in React.js, Python, PostgreSQL.
• You have the potential to develop in TypeScript, Tailwind CSS, Prompt engineering, Next.js, LLM APIs.
• English - Conversational
• *Responsibilities and more:

Required Skills

Python

React

Typescript

Aws

Postgresql

Job Description

Job Title: Fullstack Developer

Job Type: Full-time

Location: Remote (Must overlap PST timezone at least 6-8 hours)

About Us

micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.

The Role

You’ll contribute to designing, building, and shipping production systems end-to-end. This is a hands-on role where you’ll work across the stack — from UI to infrastructure — and grow into owning features as you gain context and confidence.

You’ll primarily work on building and improving Zara, our AI Recruiter agent, helping shape how it delivers intelligent workflows and scales in production.

You’ll collaborate closely with a small, senior, remote team to turn rough ideas into reliable software, learning to move fast and make thoughtful tradeoffs under real-world constraints.

Responsibilities

Contribute to building scalable and high-performance backend APIs using Python and FastAPI.

Develop and enhance frontend interfaces using React, Next.js, and TypeScript.

Support the integration of LLMs and AI agents into the platform (e.g., feedback systems and AI-assisted workflows).

Help implement concurrency patterns and backend optimizations to improve system performance.

Write and optimize SQL queries and contribute to data modeling for reliable data operations.

Improve platform scalability, performance, and reliability across frontend and backend systems.

Write clean, modular, and maintainable code following strong engineering practices.

Debug, troubleshoot, and resolve issues to ensure system stability and long-term maintainability.

Collaborate with a small, senior remote team to ship features quickly while maintaining high standards.

What We Look For

Experience building frontend applications with React (Next.js and TypeScript are a plus).

Experience building backend services with Python (FastAPI or similar frameworks preferred).

Solid Python fundamentals, including exposure to asynchronous programming or performance optimization.

Working knowledge of SQL, including writing and debugging queries.

Strong frontend fundamentals and ability to build clean, maintainable UI systems (e.g., Tailwind or similar).

Familiarity with APIs and service-oriented architectures.

Exposure to cloud environments like AWS (or similar).

Strong problem-solving skills, clear communication, and a collaborative mindset.

Ownership mindset, curiosity, and willingness to learn quickly in a fast-paced environment.

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.

Experience contributing to production systems (through internships, projects, or professional work).