About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are looking for experienced Mobile Software Engineers to help train and evaluate next-generation AI systems. In this role, you will design challenging, real-world mobile development tasks that assess an AI model’s ability to debug complex applications, implement features, refactor code, and optimize performance. You will build reproducible development environments, create deterministic automated tests, and provide verified reference solutions to ensure reliable evaluation of AI-generated code.
Key Responsibilities
Design realistic, challenging mobile software engineering tasks for advanced AI models using existing code repositories.
Create problems involving complex debugging, feature development, code refactoring, application state management, lifecycle handling, and performance optimization.
Develop tasks within at least one mobile development track:
Cross-platform: React Native, TypeScript, JavaScript, or Flutter with Dart.
iOS: Swift, SwiftUI, or UIKit.
Android: Kotlin, Jetpack Compose, or the Android View system.
Set up reproducible environments with clear requirements, dependencies, and execution instructions.
Write deterministic automated verifiers that accept valid implementations while rejecting incorrect, incomplete, or hard-coded solutions.
Develop and validate golden reference solutions demonstrating correct approaches to each task.
Ensure tasks are technically rigorous, unambiguous, reproducible, and suitable for evaluating advanced AI coding capabilities.
Requirements
Strong programming skills in at least one relevant language: TypeScript, JavaScript, Dart, Swift, or Kotlin.
Deep understanding of mobile application architecture, state management, asynchronous programming, and application lifecycle.
Proven ability to troubleshoot complex mobile applications, identify subtle defects, and implement robust fixes.
Experience developing mobile features, refactoring codebases, and improving application performance.
Ability to create automated tests, validate expected behavior, and distinguish correct implementations from superficial workarounds.
Strong analytical thinking, attention to detail, and clear technical documentation.
Availability to begin work shortly after onboarding and meet minimum weekly task submission requirements.
Build and deploy production-grade AI-enabled software with client teams, translating ambiguous business needs into reliable products while engineering agent workflows, evaluation, observability, and safeguards.
Build and deploy production-grade AI software with client teams, turning ambiguous business challenges into reliable products through agent orchestration, evaluation, observability, and full-stack engineering.
Build and deploy production-grade AI software with client teams, translating ambiguous business needs into reliable products while engineering agent workflows, evaluation systems, safeguards, and observability.
Build and deploy production-grade AI-enabled software with client teams, translating complex business needs into reliable products while engineering the agent workflows, evaluations, safeguards, and observability around AI models.
Build and operate production AI systems by turning research prototypes into dependable product workflows, creating evaluation pipelines and dashboards, and improving model quality, reliability, latency, and cost.
