About the role:

You will own the mobile AI inference stack end-to-end, from the moment a user sends a message, through Dhruva's negotiation with financial institutions, to final resolution. This includes the real-time chat interface, a transport-agnostic messaging layer (WebSocket, HTTP polling, and future push notifications), and the offline-first local data architecture that keeps the experience reliable at scale.

Key responsibilities:

- Build and maintain the chat interface per established architecture and design specifications
- Design a transport-agnostic real-time communication layer
- Architect the offline-first local data layer, including sync strategy, conflict resolution, and schema migrations
- Develop rendering infrastructure for AI-native features: streaming responses, polymorphic message types, and inline actionable widgets
- Handle mobile-specific edge cases: app backgrounding, token refresh, network degradation, and error recovery
- Write well-tested,



maintainable code as product capabilities scale

Required qualifications:

- 3+ years of React Native experience, with production applications shipped to both app stores
- Solid WebSocket integration experience, including connection lifecycle, reconnection strategies, and event-driven message handling
- Experience with local data persistence (SQLite or WatermelonDB), including schema migrations and offline-first design
- Proficiency in TypeScript, with the ability to define strict types from backend API contracts
- Android performance optimization experience: FlatList tuning, memory profiling, and familiarity with the Hermes engine
- Experience with state management (Redux or equivalent) for concurrent asynchronous state
- Experience building polymorphic UI components from a single data stream

📌 Software Engineer - React Native (Bengaluru)
🏢 Oolka
📍 Bengaluru