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Added 24 mins ago
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Quality Engineer I
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MapsPeople

Senior Android SDK Developer (AI-Native Engineering)

Richmond Hill, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 3, 2026
Experience: 8–10 years of professional Android development experience, with deep expertise in Kotlin and Java and experience working within large, complex Android codebases
Posting language: English
Posted: Nov 3, 2026

Original job description

Full time – Toronto, CA

At MapsPeople, AI is reshaping how we build software and what our products can do. We are entering a pivotal chapter of AI-led transformation and growth, shaping the future of spatial intelligence and indoor navigation. To support this journey, we are looking for an experienced Senior Android Developer who works AI-first: someone who uses AI coding agents as a natural part of their daily workflow, helps the team adopt AI responsibly and effectively, and still stays deeply involved in architecture, coding, code reviews, and SDK development.

If you are excited by building robust, scalable mobile SDKs used in real-world environments, and want to help define what modern, AI-augmented engineering looks like in practice, this role offers the opportunity to make a broad and lasting impact on our products, engineering culture, and long-term technology strategy.

The Role

As a Senior Android SDK Developer, you will be a key contributor to our mobile platform, focused on building and evolving our Android SDKs. You will work closely with other SDK engineers, platform teams, and cross-functional stakeholders to keep our mobile initiatives cohesive, scalable, and well-executed.

Your influence will extend beyond implementation. You will help shape how our engineering team works with AI, from agentic development workflows to quality standards for AI-generated code, while contributing to architectural decisions, elevating team-wide practices, and supporting an environment where the whole team can succeed.

What You Will Do

Implement new features in our existing Android SDK, written in Java and Kotlin, using AI coding agents to accelerate delivery without compromising quality
Maintain and improve the current SDK by fixing bugs and strengthening stability, using AI tools for debugging, test generation, and root-cause analysis
Lead the migration of legacy Java code to modern Kotlin, using AI-assisted refactoring to move faster and more safely
Contribute to new SDK versions, written primarily in Kotlin Multiplatform
Build and maintain binding layers that expose the native Android SDK to Flutter and React Native
Optimise map rendering and performance using Mapbox Maps and/or Google Maps
Help define and spread AI-assisted engineering practices across the team, including how we prompt, review, test, and validate AI-generated code
Evaluate new AI development tools and agents, and share what works (and what doesn’t) with your colleagues
Contribute to SDK capabilities that support AI-driven and spatial intelligence features across our platform
Collaborate closely with teammates to ensure consistent architecture, shared ownership, and high engineering standards

What You Bring

8–10 years of professional Android development experience, with deep expertise in Kotlin and Java and experience working within large, complex Android codebases
Hands-on, daily experience with agentic AI development workflows, using tools such as OpenAI Codex, Claude Code, GitHub Copilot, Cursor, or similar AI coding agents for code generation, refactoring, debugging, testing, and technical exploration
A critical, quality-focused mindset toward AI output: you know when to trust it, when to challenge it, and how to review and validate AI-generated code in a production SDK
Strong Kotlin–Java interoperability expertise, including platform limitations, migration patterns, API design, and best practices for evolving mixed-language codebases
Strong software engineering fundamentals and the ability to design, debug, refactor, and improve complex systems. UI and application experience is valuable, but the primary focus is architecture, code quality, and technical problem-solving
Hands-on technical leadership experience, leading by example through high-quality code, architectural decisions, and technical ownership while mentoring engineers, including helping them get real value from AI tools
Ability to drive technical direction and influence engineering standards while remaining deeply involved in implementation and delivery

Key Skills

SDK / framework development, rather than app-only development
Agentic AI workflows and effective use of LLMs across the development lifecycle
Prompt and context engineering for coding agents (e.g. writing clear specs, providing codebase context, breaking work into agent-friendly tasks)
Modular design and maintainable architectures
Kotlin Coroutines and structured concurrency
React Native and Flutter, including both app-side and plugin development
Hands-on experience migrating codebases from Java to Kotlin

Programming Languages & Tools

Strong proficiency in Kotlin and Java
Familiarity with Dart (Flutter) and/or TypeScript (React Native) is an advantage
Experience with Kotlin Multiplatform is appreciated
Experience with on-device ML (e.g. ML Kit, TensorFlow Lite / LiteRT) is a plus
Daily tools include Android Studio, Git, Jira, Confluence, and AI coding agents

Who You Are

You are a collaborative engineer who sees AI as a force multiplier, not a shortcut. You enjoy working on shared platforms rather than isolated features, take pride in building clean, reliable SDKs that others depend on, and like helping teams align around sound architectural decisions. You are curious about how AI is changing software development and eager to help shape those practices, while keeping a sharp eye on quality, security, and long-term maintainability.

What You Get

This role is a strong fit if you want to:

Work at the intersection of spatial computing and AI, in a company actively investing in AI-led transformation
Work in an engineering environment where AI-native development is encouraged and supported
Build software used by millions of people navigating physical spaces
Join a global team shaping the future of indoor digital experiences
Have a direct impact on engineering direction, particularly within our Android platform
Grow professionally, including developing expertise in AI-augmented engineering
Be part of a diverse, international environment with strong collaboration across teams
Enjoy a supportive, dynamic workplace with a strong team culture
Receive a competitive salary and benefits package

Ready to help shape the future of AI-powered mobile indoor navigation?

Apply now to join MapsPeople as our next Senior Android SDK Developer.

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More about this job

Responsibilities

Develop, maintain, and evolve Android SDKs, including migrating legacy Java code to Kotlin, building Flutter and React Native bindings, and optimizing map rendering and performance. Help establish responsible AI-assisted engineering practices, contribute to architecture and technical direction, and support high-quality implementation through collaboration and mentorship.

Requirements

Requires 8–10 years of professional Android development experience, strong Kotlin and Java expertise, and hands-on daily use of AI coding agents in development workflows. Candidates should have SDK or framework development experience, strong architectural and debugging skills, Kotlin–Java interoperability expertise, and technical leadership experience; Flutter, React Native, Kotlin Multiplatform, and on-device ML experience are advantageous.

Skills

Android SDK Development
Kotlin
Java
AI Coding Agents
Kotlin–Java Interoperability
Kotlin Multiplatform
Flutter
React Native
Mapbox Maps
Google Maps
Kotlin Coroutines
Structured Concurrency
Java-to-Kotlin Migration
SDK Architecture
Technical Leadership
Prompt and Context Engineering

Benefits

Competitive Salary
Benefits Package

Visa sponsorship

Not detected in the job text

Keywords

Android SDK
Kotlin
Java
AI Coding Agents
OpenAI Codex
Claude Code
GitHub Copilot
Cursor
Kotlin Multiplatform
Flutter
React Native
Dart
TypeScript
Mapbox Maps
Google Maps
Kotlin Coroutines
Structured Concurrency
SDK Development
Framework Development
Java-to-Kotlin Migration
Prompt Engineering
Context Engineering
AI-Assisted Refactoring
AI-Generated Code Review
On-Device ML
ML Kit
TensorFlow Lite
Android Studio
Spatial Intelligence
Indoor Navigation

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