R
Android Developer, AI Apps
remotepromsp
Nigeria · On-site Full-time Mid Level Today
About the role
About
- Our organization is very flat
- Highly motivated team
- Focused on engineering and product excellence
- Expect hands-on contributions to the company’s mission
Responsibilities
- Build and maintain production Android apps using Kotlin
- Integrate AI-powered features (chat, vision, voice, recommendations) via backend APIs
- Design UX patterns for AI interactions, including streaming responses, retries, and partial results
- Optimize performance, memory usage, and responsiveness for AI-heavy flows
- Implement analytics, logging, and feedback capture to support AI evaluation and iteration
- Collaborate closely with backend and ML engineers on API contracts and system behavior
- Ensure app stability, security, and scalability in production environments
Requirements
- 3+ years of Android development experience using Kotlin
- Hands-on experience integrating AI features (e.g. LLM, vision, speech APIs)
- Strong understanding of asynchronous programming (Coroutines, Flow)
- Familiarity with REST or gRPC APIs and structured data formats
- Strong debugging and performance profiling skills
- Comfort building in environments with latency, partial failure, and non-deterministic behavior
- Experience with MLKit or light on-device inference
- Published production apps on the Google Play Store
Apply
Apply To this Job
Requirements
- Hands-on experience integrating AI features (e.g. LLM, vision, speech APIs)
- Strong understanding of asynchronous programming (Coroutines, Flow)
- Familiarity with REST or gRPC APIs and structured data formats
- Strong debugging and performance profiling skills
- Comfort building in environments with latency, partial failure, and non-deterministic behavior
- Experience with MLKit or light on-device inference
- Published production apps on the Google Play Store
Responsibilities
- Build and maintain production Android apps using Kotlin
- Integrate AI-powered features (chat, vision, voice, recommendations) via backend APIs
- Design UX patterns for AI interactions, including streaming responses, retries, and partial results
- Optimize performance, memory usage, and responsiveness for AI-heavy flows
- Implement analytics, logging, and feedback capture to support AI evaluation and iteration
- Collaborate closely with backend and ML engineers on API contracts and system behavior
- Ensure app stability, security, and scalability in production environments
Benefits
highly motivated teamengineering and product excellence
Skills
AndroidCoroutinesFlowgRPCKotlinLLMMLKitREST
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