Description and Requirements
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
