Android Software Engineer

ActAI

New York (NY)

On-site

USD 120,000 - 190,000

Full time

3 days ago
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Job summary

ActAI in New York is seeking an experienced Android Developer to own the Android client experience for AI-powered features. You will build a production Android app where AI interactions are core to the product, focusing on performance and reliability.

Collaborate with backend and ML engineers, design UX for streaming AI responses, handle partial results and retries, and ensure security and scalability in a production environment.

Qualifications

  • 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).

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.

Skills

Kotlin
Coroutines/Flow
REST/gRPC
Performance profiling
Android debugging

Tools

MLKit
TensorFlow Lite
Google Play Console

Job description

There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.

Our first application is an agent-first mobile communication app. We believe building applications that users use daily for communication, coordination and collaboration needs will help integrate AI into their lives. The net effect is to eliminate misinformation, achieve low coordination costs, enable high quality tasks and collaboration at scale with minimal or little prompting.

Role

As an Android Developer, AI Apps, you own the Android client experience, how AI feels, behaves, and performs on mobile devices. This is not a thin client role. You will build a production Android application where AI interactions are core to the product, and performance, reliability, and clarity matter.

Focus
  • 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.
Ideal Experiences
  • 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.
Outcomes
  • Stable, smooth, and reliable real-world use android applications.
  • Performance is optimized: responsive, low-latency, and efficient on memory and CPU.
  • Production issues are detected early, monitored effectively, and resolved with clear root-cause analysis.
  • Kotlin / Java
  • SQL / noSQL
  • TensorFlow Lite (on-device inference)
How We Work

The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product

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