Position : React Native Engineer

Exp : 3+ Years

Working Mode : WFO, 5 Days

Location : Bangalore

Job Overview :

We are looking for a skilled React Native Engineer to build and scale real-time, AI-powered mobile experiences. The role involves developing high-performance mobile applications with strong expertise in WebSockets, offline-first architecture, local databases, and scalable real-time communication systems.

The ideal candidate will work closely with product, backend, and AI teams to create seamless user experiences, optimize app performance, and build extensible mobile infrastructure for AI-native features. This is an opportunity to work on cutting-edge agentic AI products impacting millions of users in the fintech ecosystem.

Must-Have Skills :

- 3+ years React Native with production apps shipped to both app stores

- Strong WebSocket integration experience - connection lifecycle, reconnection strategies, and event-driven message handling on mobile

- Local data persistence using SQLite or WatermelonDB, including schema migrations and offline-first patterns

- TypeScript proficiency - defining strict types from backend API contracts and maintaining type safety across the data layer

- Performance optimization on Android - FlatList tuning, memory profiling, and Hermes engine familiarity

- State management with Redux or equivalent - handling concurrent async state (network, WebSocket, local DB) without race conditions

- Experience rendering polymorphic UI components - mapping different message types (text, rich cards, suggestions, documents) to distinct components from a single data stream.

Key Growth Areas :

- Implement the chat interface for our following established architecture patterns and design specs from our UI/UX team

- Design the real-time communication layer - a transport-agnostic message pipeline that works across WebSocket, HTTP polling, and future push notification channels without UI-layer changes

- Architect the local data layer - offline-first storage, sync strategies, conflict resolution, and schema migration patterns that scale as Dhruva adds new capabilities

- Build extensible rendering infrastructure for AI-native features - streaming responses, polymorphic message types, inline actionable widgets (payment CTAs, score visualizations), and proactive nudge surfaces

- Handle mobile-specific edge cases - app backgrounding/foregrounding, token refresh, graceful degradation on network loss, and error recovery UX

- Write well-tested, documented code that the team can maintain and extend as Dhruvas capabilities grow

Make AI Do the Actual Work, Not Just Talk About It :

Own the entire AI inference stack from user message to negotiation to delighting the user by getting the job done.

This means :

- When users in rural Rajasthan asks about complex credit decisions at 11 PM, your code determines if they get an answer in 500ms or 5 seconds

- When our AI needs to negotiate with banks, lenders and credit bureaus simultaneously for 10,000 users, your architecture decides if we succeed

- You will be scaling it the way you want the agent the respond to your friends and family