Frontend Engineer

neuroGrid

Bengaluru

On-site

INR 900,000 - 1,400,000

Full time

14 days+

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Job summary

neuroGrid is seeking a Front-end Engineer to help build modern, performant web applications as a core member of our engineering team. You will work with product managers, designers, and AI/full-stack engineers to deliver intuitive, responsive user experiences on our AI-driven platform.

You will translate Figma designs into production interfaces, implement AI-enabled features like chat and recommendations, and ensure code quality, accessibility, and cross-browser compatibility.

Qualifications

  • 3+ years of professional front-end development experience.
  • Deep expertise in React + TypeScript and modern tooling.
  • Strong understanding of responsive design, accessibility, and cross-browser compatibility.
  • Experience with APIs (REST/GraphQL) and backend integration.
  • Familiarity with state management (Redux, Zustand) and cross-browser considerations.
  • Excellent communication and teamwork skills.

Responsibilities

  • UI development: Build modern, responsive web applications using React and TypeScript.
  • Design integration: Translate Figma prototypes and customer workflows into production-ready interfaces.
  • AI user experience: Embed AI features directly into intuitive flows with backend collaboration.
  • Code quality: Write clean, structured, reusable, and testable code with performance in mind.
  • Collaboration: Participate in architecture discussions, code reviews, and agile ceremonies.
  • Customer empathy: Advocate for user-centric design and iterate quickly based on feedback.
  • Culture: Contribute to a high-ownership engineering culture across the company.

Skills

React
TypeScript
Webpack/Vite
ESLint/Jest
Redux
Zustand
Responsive design
Accessibility
REST/GraphQL
Cross-browser

Tools

Webpack
Vite
ESLint
Jest
Redux
Zustand

Job description

We are seeking a Front-end Engineer with strong expertise in building modern, performant web applications. You will be a core member of our engineering team, working closely with product managers, designers, and full-stack/AI engineers to craft intuitive, responsive, and reliable user experiences. This is a unique opportunity to join a high-caliber team at the ground floor, help shape our MVP, and influence how users interact with neuroGrid's AI-driven platform. You should love bringing complex workflows to life through elegant interfaces, and you'll thrive in the energy of in-person collaboration.

Responsibilities:
  • UI development: Build and maintain modern, responsive web applications using React and TypeScript.
  • Design integration: Collaborate with product designers to translate Figma prototypes and customer workflows into production-ready interfaces.
  • AI user experience: Work with full-stack engineers to embed AI features (e. g., chat, summarization, recommendations, HITL UI/UX) directly into intuitive flows.
  • Code quality: Write clean, structured, reusable, and testable code with strong attention to performance and accessibility.
  • Collaboration: Participate in architecture discussions, code reviews, and agile ceremonies; share best practices with peers.
  • Customer empathy: Advocate for user-centric design and iterate quickly based on customer feedback.
  • Culture: Contribute to a strong, high-ownership engineering culture across the company.
Requirements:
  • 3+ years of professional front-end development experience.
  • Deep expertise in React + TypeScript and modern front-end tooling (Webpack/Vite, ESLint, Jest, etc. ).
  • Strong understanding of responsive design, accessibility, and cross-browser compatibility.
  • Experience working with APIs (REST/GraphQL) and integrating back-end services.
  • Familiarity with state management (Redux, Zustand, or similar).
  • Comfortable in early-stage environments: able to move fast, learn quickly, and make sound tradeoffs.
  • Excellent communication and teamwork skills.
Bonus:
  • Experience building SaaS products with complex workflows and data-heavy interfaces.
  • Exposure to AI/ML-powered user interfaces (LLM-driven chat, assistants, and workflow automation).
  • Knowledge of data visualization libraries (D3 Recharts, or similar).
  • Background in energy, infrastructure, or enterprise platforms.
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