Fullstack Developer Python/React - Remote

Role Overview

Contribute to designing, building, and shipping production systems end-to-end as a hands-on fullstack developer. Work across the stack from UI to infrastructure, primarily on Zara, an AI Recruiter agent platform. Collaborate with a small, senior remote team to turn ideas into reliable software while moving fast and making thoughtful tradeoffs.

Responsibilities

• Build scalable and high-performance backend APIs using Python and FastAPI
• Develop and enhance frontend interfaces using React, Next.js, and TypeScript
• Support integration of LLMs and AI agents into the platform (feedback systems, AI-assisted workflows)
• Implement concurrency patterns and backend optimizations to improve system performance
• Write and optimize SQL queries and contribute to data modeling
• Improve platform scalability, performance, and reliability across frontend and backend
• Write clean, modular, and maintainable code following strong engineering practices
• Debug, troubleshoot, and resolve issues to ensure system stability
• Collaborate with team to ship features quickly while maintaining high standards

Requirements

• Experience building frontend applications with React
• 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 collaborative mindset
• Ownership mindset, curiosity, and willingness to learn quickly

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 (internships, projects, or professional work)