Android AI Lead Developer in Haciendas del Canada, Nuevo León at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Android AI Lead Developer based in Canada.

We are looking for an experienced Android development leader to build high-quality mobile applications and integrate modern AI technologies into innovative software solutions. In this fully remote role, you will guide engineering teams through the full software development lifecycle, from architecture and implementation to deployment and ongoing support. You will combine strong Kotlin and Jetpack Compose expertise with practical experience using AI tools and cloud technologies. Working closely with clients, project stakeholders, and distributed teams, you will help shape technical decisions and deliver reliable, user-focused products. This opportunity offers the chance to influence engineering standards, drive continuous improvement, and contribute to ambitious projects in a collaborative, fast-moving environment. Candidates must be based in Canada and able to work Pacific Daylight Time (PDT) hours.

• Lead technical collaboration within project teams, using your experience to guide engineers throughout the software development lifecycle.

• Establish and maintain high standards for code quality, engineering governance, and adherence to agreed architecture, patterns, and design principles.

• Contribute to technical architecture, project planning, estimation, hands-on coding, and development activities.

• Drive codebase refactoring, continuous improvement, and the adoption of software development best practices.

• Communicate technical decisions, implementation details, and project updates clearly across distributed teams.

• Take ownership of application releases and contribute to the maintenance and support of live products.

• Participate in deployment, operations, and DevOps activities to ensure reliable software delivery.

• Collaborate directly with clients and stakeholders to clarify requirements, resolve complex challenges, and deliver solutions that meet business needs.

• Maintain professional standards and promote fair, responsible outcomes for customers and end users.

• At least 4 years of hands-on Kotlin development experience.

• At least 3 years of experience with Jetpack Compose.

• At least 2 years of experience working with Gemini, Claude, or comparable AI development tools.

• At least 3 years of experience with GWT and/or AWS cloud environments.

• Strong object-oriented design (OOD) skills and a solid understanding of software design principles, patterns, and best practices.

• Experience with Test-Driven Development (TDD), Domain-Driven Design (DDD), and configuring and maintaining CI/CD pipelines.

• Proven ability to work directly with clients and project stakeholders to define, clarify, and refine requirements.

• Strong written and verbal English communication skills, with the ability to collaborate effectively across distributed teams.

• A proactive, self-motivated approach, sound technical judgment, and the ability to lead teams through complex engineering challenges.

• Familiarity with Kotlin Multiplatform Mobile, TypeScript, Python, Hyper Velocity Engineering, or the BMAD methodology is an advantage.

• Must currently reside in Canada. Relocation assistance is not available.

• Competitive annual salary: CAD $110,000–$160,000, depending on experience, geographical location, and interview performance.

• Fully remote work from anywhere in Canada, with working hours aligned to PDT.

• Flexible scheduling designed to support a healthy work-life balance.

• Generous paid time off.

• Comprehensive employee benefits.

• Opportunities to work on technically challenging projects involving modern mobile development, AI, and cloud technologies.

• A collaborative team environment that encourages knowledge-sharing, continuous learning, and professional growth.

• Virtual company events and team-building activities.

• A skills-focused culture that recognizes demonstrated expertise and encourages employees to develop and expand their capabilities.

• A multi-stage interview process that may include communication and soft-skills assessment, evaluation of software engineering fundamentals, a live coding exercise, and discussions about team collaboration and culture.