SE/SSE Reactnative

Bengaluru

412 Candidates

About Oolka

Oolka has built India's first agentic AI platform for credit management. Our AI agent, Dhruva, autonomously negotiates with banks, lenders, and credit bureaus on behalf of our users resolving issues rather than simply advising on them.

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
Strong 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

Interview process:

Conversational AI interview (40 mins)
Personal Interview 1 (60 mins)
Personal Interview 2 (60 mins)
Final round - team and culture interview (20 mins)

Interested candidates are encouraged to apply or reach out directly.

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Made withBinary

About Oolka

Oolka has built India's first agentic AI platform for credit management. Our AI agent, Dhruva, autonomously negotiates with banks, lenders, and credit bureaus on behalf of our users resolving issues rather than simply advising on them.

About the role:

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

Strong 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

Interview process:

Conversational AI interview (40 mins)

Personal Interview 1 (60 mins)

Personal Interview 2 (60 mins)

Final round - team and culture interview (20 mins)

Interested candidates are encouraged to apply or reach out directly.