UI/UX Software Engineer (AI-Driven UI System)

Whereuelevate; Pune District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Whereuelevate is seeking a UI/UX Software Engineer in Pune, Maharashtra to lead the development of AI-driven user interfaces. The ideal candidate will architect scalable React applications, utilizing advanced state systems and ensuring high performance under significant data loads.

This role emphasizes UI architecture and design over manual coding, employing AI tools like Claude Code and Cursor to automate workflows. Success in this position means delivering high-quality, modular UI systems that integrate seamlessly with data-driven environments.

Qualifications

• Strong experience with React and TypeScript with deep knowledge of React internals.
• Advanced experience with MobX / MobX Keystone.
• Hands-on production experience with Claude Code and Cursor.

Responsibilities

• Architect scalable, modular, high-performance React applications.
• Design robust MobX-based Models and ViewModels.
• Own end-to-end UI delivery using AI automation with zero manual coding.

Skills

React internals

UI architecture

State systems

MobX / MobX Keystone

Claude Code

Cursor

Job description

UI/UX Software Engineer (AI-Driven UI System)

Ksolves India Limited

About the Role

We are building the next generation of enterprise-grade, agentic user interfaces, where human architectural intent and AI-driven software automation operate in tight orchestration.

We are looking for a UI/UX Software Engineer with deep expertise in React internals, UI architecture, and state systems, who can architect and deliver UI systems entirely through AI-driven DevOps workflows.

This role does not focus on manual UI coding. Instead, you will design UI architectures, decompose UX requirements into machine-executable specifications, and drive end-to-end UI delivery using AI automation tools like Claude Code and Cursor.

The platform domain spans data mesh, data products, MLOps, AI platforms, knowledge graphs, and large-scale enterprise analytics.

All UI systems strictly follow the MVVMC architecture (Model–View–ViewModel–Controller). This separation is non-negotiable and foundational to scalability, performance, and deterministic AI generation.

• Model: Domain and UI state using MobX / MobX Keystone.
• Controller: Interaction logic, workflows, APIs, and side effects.

Key Responsibilities

1. UI Architecture & React Engineering

• Architect scalable, modular, high-performance React applications using MVVMC.
• Apply deep understanding of React internals including rendering lifecycle, hooks, concurrency, memoization, and code-splitting.
• Ensure consistent performance under large data volumes and frequent state updates.

2. Advanced State Modeling

• Design robust MobX-based Models and ViewModels.
• Build observable graphs with fine-grained reactivity.
• Enforce clean state boundaries enabling reliable AI-generated implementations.

3. AI-Driven UI DevOps (100% Automated)

• Own end-to-end UI delivery using AI automation with zero manual UI coding.
• Use Claude Code and Cursor as primary engineering tools.
• Orchestrate AI workflows for UI scaffolding, refactoring, testing, performance tuning, CI/CD, and deployment.

4. UX Decomposition for AI Execution

• Decompose UX and product requirements into MVVMC-aligned, machine-consumable specifications.
• Define component hierarchies, state boundaries, controller responsibilities, and API contracts.
• Enable deterministic AI generation of production-grade UI systems.

5. Enterprise Data UI & Visualization

• Build high-performance tables, graphs, workflow canvases, dashboards, and knowledge graphs.
• Align UI behavior with data mesh, governance, and enterprise standards.

Required Skills & Experience

• Strong experience with React and TypeScript with deep knowledge of React internals.
• Advanced experience with MobX / MobX Keystone.
• Hands-on production experience with Claude Code and Cursor.
• Strong understanding of MCP (Model Context Protocol) and context engineering.
• Experience building UIs for data platforms, analytics systems, MLOps tools, or AI products.
• Strong grasp of enterprise-scale performance, accessibility, and maintainability.

Preferred Domain Knowledge

• Data Mesh and Data Product architectures.
• MLOps and AI/ML platforms.
• Knowledge graphs, lineage, metadata, and governance systems.

What Success Looks Like

• UI systems are modular, scalable, and architecturally sound.
• Entire UI codebases are generated, tested, and deployed via AI automation.
• UX requirements translate cleanly into deterministic AI-executable specs.
• Users experience fast, intuitive, and scalable interfaces at extreme data scale.

Location: Pune, Maharashtra