AI Development Engineer

Build rapid end-to-end prototypes across Qira experiences, including agentic workflows, cross-device interactions, multimodal experiences and proactive assistance.

· Integrate models, APIs, tools, device capabilities and application context into working prototypes with strong user flows.

· Work directly with AI researchers to turn new technical capabilities into usable experiences without over-engineering.

· Create demos that can run on real Lenovo/Motorola hardware and show the value of new AI capabilities clearly to product and executive audiences.

· Develop lightweight instrumentation and evaluation mechanisms to learn from prototype usage and internal feedback.

· Collaborate with Product, Design, Engineering, Security and Privacy to identify constraints early and prepare promising concepts for handoff.

· Maintain prototype code quality sufficient for advanced development and knowledge transfer, while preserving speed of experimentation.

· Help establish a repeatable prototype-to-product process for the Singapore Lab.

Basic Qualifications

· Bachelor's degree in Computer Science, Software Engineering or related field.

· 5+ years of strong software engineering experience, preferably with AI/ML products or intelligent applications.

· Excellent ability to build end-to-end applications quickly and integrate modern AI models and agent frameworks.

· Strong Python plus one or more of TypeScript/JavaScript, C++, Kotlin, Rust or similar production languages.

· Comfortable with APIs, distributed systems, authentication, application state and device/platform integration.

· Strong product sense and ability to balance prototype speed with reliability and user experience.

Preferred Qualifications

· Experience with Windows and/or Android application development.

· Experience building agentic AI, multimodal AI or copilots.

· Experience creating executive/customer demos or 0-to-1 AI products.

· Experience collaborating closely with product designers and PMs.

Success Measures

· Produce compelling prototypes on a short cycle that make new Qira capabilities easy to understand and evaluate.

· Create reusable prototype patterns and technical assets that accelerate future experiments.

· Generate validated concepts that enter the Qira advanced-development or product pipeline.

· Help the Lab become known internally for speed, experimentation and high-quality demonstrations.

Key Partnerships

Works closely with AI Research, AI Systems, Product, Design and global Qira Engineering teams