Frontend Engineer

Overview

Company name: Galileo | HQ Location: San Francisco, California | Website | LinkedIn

Role: Frontend Engineer

• Salary: Rs. 40-70 Lakhs per year
• Experience: 4+ years
• Location: Remote, Bangalore
• Type: Full-time

About the Role
We are seeking a Frontend Engineer to join our team and play a key role in building cutting-edge generative AI technologies for a diverse range of customers. You’ll work on crafting seamless, scalable, and intuitive user interfaces that bring AI-powered solutions to life.

Key Responsibilities

1. Develop and optimize modern, responsive, and high-performance web applications.
2. Work closely with AI/ML engineers, backend teams, and designers to create intuitive and user-friendly interfaces.
3. Implement and maintain scalable frontend architectures using React, Next.js, or other modern frameworks.
4. Ensure seamless integration with AI-driven APIs and real-time data processing.
5. Optimize application performance, ensuring smooth user experiences for AI-powered solutions.
6. Maintain high code quality, accessibility standards, and UI consistency across platforms.
7. Stay up to date with latest frontend technologies, AI advancements, and industry trends.

Requirements

1. Strong proficiency in React, Next.js, TypeScript, and modern JavaScript frameworks.
2. Experience working with RESTful & GraphQL APIs and handling complex data flows.
3. Strong understanding of state management libraries (Redux, Zustand, or Recoil).
4. Familiarity with UI/UX best practices, responsive design, and accessibility standards.
5. Experience working with AI-driven applications, WebSockets, or real-time data visualization is a plus.
6. Knowledge of performance optimization techniques, caching strategies, and browser rendering behavior.
7. Passion for AI, machine learning, and cutting-edge technologies.

About us

At Galileo we are building the first algorithm-powered LLMOps Platform for the enterprise.

Galileo is currently powering ML teams across the Fortune 500 as well as startups across multiple industries.

If you are interested in working at the intersection of Machine Learning and data, alongside industry and academic veterans at a well-funded early stage company going after a big, real and massively underserved problem, we are currently hiring for multiple positions.