Android Software Engineer

• Posted 14 hours ago • Updated 14 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Workflow
  • Customer Experience
  • Mobile Devices
  • Thin Client
  • Clarity
  • FOCUS
  • User Experience
  • Streaming
  • Analytics
  • Evaluation
  • Collaboration
  • Machine Learning (ML)
  • API
  • Scalability
  • Android Development
  • Debugging
  • Android
  • CPU
  • Root Cause Analysis
  • Kotlin
  • Java
  • SQL
  • NoSQL
  • TensorFlow
  • Shipping
  • Expect
  • Value Engineering
  • Artificial Intelligence

Summary

{"description": " About the Role

A1 is building a proactive AI system that users rely on daily across conversations, tools, and workflows.

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.

Tech Stack
  • 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

Interview process

If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.

Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.

We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.", "salary_raw": "Row(double=None, string=None)"}
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922487
  • Position Id: 24071522
  • Posted 14 hours ago
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