AI-First Android Engineer
New
G
Grove CollaborativeE-commerce, Sustainability
Remote for candidates based in the following states: California, Maine, Pennsylvania, Nevada, North Carolina, Texas, Colorado, Washington, Illinois, New York, Missouri, and MassachusettsFull-TimeSenior
Salary175,000 - 225,000 USD per year
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Job Details
- Experience
- 5–8 years
- Required Skills
- Kotlin
Requirements
- 5–8 years of professional Android development experience with a portfolio of shipped consumer apps at scale.
- Native, demonstrable fluency with modern AI coding tooling (Claude Code, Cursor, Copilot, Codex, agentic workflows).
- Strong, opinionated taste in Kotlin and modern Android architecture (Clean Architecture, MVVM, multi-module Gradle, Koin for DI, Coroutines/Flow, Moshi).
- Comfort working in a DataBinding/XML codebase with the judgment to drive a phased Compose migration.
- Experience integrating with REST + JSON:API-style backends and the Shopify Buy/Checkout SDKs at consumer scale.
- A bias toward owning end-to-end outcomes.
- Genuinely autonomous in operation and monitoring system health (Sentry/Datadog/Firebase/Cloudflare).
- Comfort writing prompts, evals, and guardrails to treat AI as a system to be engineered.
- Sharp written communication skills for async standups and design reviews.
- A collaborative, ego-light disposition.
Responsibilities
- Direct multiple AI coding agents in parallel to design, build, test, and ship Android features in Kotlin against the Android SDK.
- Take total ownership of a slice of the Android app — discovery, scoping, architecture, implementation, QA, release, monitoring, and iteration.
- Run an “engineer-as-a-team” workflow — spawn agents for spec drafting, codegen, test generation, code review, refactoring, doc writing, and bug triage, then merge, judge, and ship.
- Develop and defend a strong point of view on what good Android code looks like inside Grove’s architecture.
- Design prompts, evals, and harnesses that make AI-assisted mobile development repeatable and measurable.
- Stand up automation that closes the loop: Fastlane lanes, CircleCI checks, AppCenter/Play Console distribution, device test farms, telemetry-driven rollback, and AI-powered review gates.
- Drive architecture decisions with AI as a research and prototyping partner.
- Collaborate with other engineers on architecture and trade-offs.
- Own production health autonomously — monitor Sentry, Datadog, Cloudflare, and Firebase to assess system health and triage incidents.
- Triage Sentry crashes, hotfix, and root-cause incidents with AI-assisted investigation and remediation.
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