Fullstack Developer (Python/Typescript)

• *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**

1.

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

2.

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

3.

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**

1.

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.

4.

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