Android Software Engineer
$130k - $180k per yearSarsfield Group
There are over 5 billion users relying on basic applications today, email, notes, tasks, calendar, that aren’t AI-native. This company’s mission is to build proactive applications for anyone in the world who isn’t used to complex prompting, bringing intelligence to conversations, errands, organizing, and workflows with minimal prompting.
The product focuses on high reliability for long-running workflows, persistent context, and real-world task completion, with a strong belief that well-built products can greatly reduce hallucinations. The broader objective: help organize anyone’s life so people can spend time on what’s valuable and meaningful.
RoleAs an Android Software Engineer, you’ll own the Android client experience, how AI feels, behaves, and performs on mobile devices. This is not a thin client role. You’ll build a production Android application where AI interactions are core to the product, and performance, reliability, and clarity matter.
FocusBuild 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 Experience3+ years of Android development experience using Kotlin
Hands‑on experience integrating AI features (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
OutcomesStable, smooth, reliable real‑world Android applications
Optimized performance: responsive, low‑latency, efficient on memory and CPU
Production issues detected early, monitored effectively, resolved with clear root‑cause analysis
Kotlin / Java
SQL / NoSQL
TensorFlow Lite (on‑device inference)
How They WorkA small, high‑talent‑density, hands‑on team that makes decisions collectively and moves quickly, balancing shipping quality work with learning. The role requires bringing structure, exercising judgment, and executing independently.
Interview Process3-4 interviews if there’s a fit, evaluated by technical team members, conducted virtually and/or onsite. Transparent, efficient process with a prompt decision.
Compensation:The base salary range for this role is:
United States: $ 135.000 – $ 205.000 USD
Canada: $ 130.000 – $ 180.000 CAD
The range that applies depends on the country you are hired in.
Final pay within the range depends on location and experience.
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The product focuses on high reliability for long-running workflows, persistent context, and real-world task completion, with a strong belief that well-built products can greatly reduce hallucinations. The broader objective: help organize anyone’s life so people can spend time on what’s valuable and meaningful.
RoleAs an Android Software Engineer, you’ll own the Android client experience, how AI feels, behaves, and performs on mobile devices. This is not a thin client role. You’ll build a production Android application where AI interactions are core to the product, and performance, reliability, and clarity matter.
FocusBuild 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 Experience3+ years of Android development experience using Kotlin
Hands‑on experience integrating AI features (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
OutcomesStable, smooth, reliable real‑world Android applications
Optimized performance: responsive, low‑latency, efficient on memory and CPU
Production issues detected early, monitored effectively, resolved with clear root‑cause analysis
Kotlin / Java
SQL / NoSQL
TensorFlow Lite (on‑device inference)
How They WorkA small, high‑talent‑density, hands‑on team that makes decisions collectively and moves quickly, balancing shipping quality work with learning. The role requires bringing structure, exercising judgment, and executing independently.
Interview Process3-4 interviews if there’s a fit, evaluated by technical team members, conducted virtually and/or onsite. Transparent, efficient process with a prompt decision.
Compensation:The base salary range for this role is:
United States: $ 135.000 – $ 205.000 USD
Canada: $ 130.000 – $ 180.000 CAD
The range that applies depends on the country you are hired in.
Final pay within the range depends on location and experience.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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