Software Engineer II (Full-Stack, AI)

Company Description

Z Brands is a consumer app studio that uses cutting edge data-analytics and AI to build consumer brands. We're profitable and growing fast. Our team is Forbes 30u30, ex-IIT, ex-Microsoft, ex-FTX, ex-PayTM.

About the Role

We’re seeking a skilled Software Developer to drive the development of key features for our rapidly growing AI-driven consumer apps. You’ll work across the stack, building robust, scalable systems and intuitive interfaces that deliver real-time, data-driven experiences. This high-impact role places you at the heart of our product ecosystem, contributing to solutions that reach millions of users.

What You’ll Do

• Develop and maintain core product features using modern web technologies such as JavaScript/TypeScript, React, and Node.js.
• Build efficient, scalable APIs and server-side logic to power data-driven applications.
• Create responsive, user-friendly interfaces for real-time data visualization and interaction.
• Collaborate with cross-functional teams (product, design, and growth) to iterate quickly based on user feedback.
• Integrate third-party APIs, automation tools, or AI-driven components to enhance product functionality.

Essential Skills

• Proficiency in JavaScript/TypeScript, React, and Node.js for building full-stack applications.
• Experience designing and implementing RESTful APIs and server-side logic.
• Ability to create dynamic, responsive front-end interfaces with frameworks like React.
• Strong problem-solving skills and familiarity with version control systems (e.g., Git).
• Comfortable working in a fast-paced environment, collaborating with product and growth teams.

Bonus Skills (Nice to Have)

• Experience with web scraping technologies (e.g., headless browsers, proxy management, CAPTCHA handling) and navigating anti-bot systems.
• Familiarity with cloud platforms like AWS (e.g., Lambda, ECS, S3) or GCP for scalable infrastructure.
• Knowledge of relational databases (e.g., PostgreSQL) and optimizing large-scale data queries.
• Experience with CI/CD pipelines, containerization (e.g., Docker), or monitoring tools for DevOps.
• Exposure to integrating data with AI pipelines, LLMs, or autonomous agent systems.
• Familiarity with serverless architectures or distributed systems.