Fullstack developer

We are looking for a Senior React Developer with a passion for Generative AI to help us build a first-of-its-kind, AI-augmented Software Development Lifecycle (SDLC) platform. You will be at the forefront of the "AI-First" engineering movement, designing web interfaces that don't just display data, but actively assist developers in coding, testing, and deploying software.

This role is ideal for a frontend expert who enjoys building complex, state-heavy applications and has a keen interest in how LLMs can be integrated into a seamless user experience.

Key Responsibilities

GenAI Interface Design: Build and optimize conversational interfaces and "AI Companion" views that provide context-aware suggestions during the software development process.

Modular Architecture: Develop a library of reusable widgets (e.g., streaming code blocks, diff viewers, AI-generated spec-to-issue trackers) to ensure consistency across the SDLC platform.

State Management for LLMs: Manage complex application states, including real-time streaming of AI responses, conversation history, and multi-modal inputs using TypeScript and React.

Responsive & Robust UI: Engineer highly responsive, accessible, and performant interfaces that remain stable under the heavy data loads typical of modern IDE-like web platforms.

Collaborative SDLC Tools: Work closely with backend engineers to integrate AI-augmented capabilities like automated requirements gathering, agentic code generation, and proactive SRE monitoring.

Technical Requirements

• Expert React & TypeScript: 5+ years of experience building scalable frontend applications. You should have deep knowledge of hooks, context, and performance optimization (e.g., memoization, virtualization).

• Advanced Styling: Proficiency in CSS-in-JS (Styled Components/Emotion) or Tailwind CSS to build sophisticated, responsive layouts.

• GenAI/LLM Integration: Hands-on experience with OpenAI, Anthropic, or similar APIs. Understanding of prompt engineering and handling streaming responses (Server-Sent Events/WebSockets).

• Component Architecture: Proven ability to create a design system or a robust library of reusable UI components.

• Backend Awareness: Strong understanding of RESTful and GraphQL APIs.

Good-to-Have Skills

• Node.js / Python: Ability to jump into the backend to help define API contracts or build lightweight microservices.

• UX/UI Design: A "design-first" mindset with experience using tools like Figma to prototype conversational flows.

• SDLC Domain Knowledge: Familiarity with CI/CD pipelines, Git workflows, and DevOps tools.