HP
Retail Software Engineer
$147K–$231K
Spring, Texas, United States of America +1 · Full-time · Posted Oct 14, 2026
- Location
- Spring, Texas, United States of America
Vancouver, Washington, United States of America - Experience
- 8+ years of software engineering experience; includes technical leadership and hands-on development of new products from concept through production.
- Education
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
About the job
Leads development of AI-powered retail software across Android apps, backend services, and AI agents, from concept through production.
What you'll do
- Develop and maintain AI agents and Android applications, integrating models, device capabilities, and enterprise systems.
- Translate customer and product requirements into technical designs, acceptance criteria, and production-ready features; troubleshoot integrations with customers and their IT teams.
- Establish engineering practices for AI-assisted development, testing, security, releases, and product support; mentor engineers and lead technical issue resolution.
What they ask for
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
- 8+ years of software engineering experience, including technical leadership and hands-on development of new products from concept through production.
- Demonstrated experience building AI applications using large language models, agent frameworks or harnesses, tool calling, retrieval, inference, and evaluation.
- Strong Android development and backend integration experience; practical use of AI-assisted development tools is required.
Nice to have
- Kotlin and Jetpack Compose skills.
- Retail technology experience.
Pay
$147,050 to $230,850 USD annually (base salary)
Tools
Android, Kotlin, Jetpack Compose, APIs, large language models, agent frameworks, retrieval
AI focus
Build AI-powered retail experiences and agent harnesses; select, integrate, evaluate, and optimize AI models and inference across cloud and edge environments. Use AI-assisted coding and agentic development tools.
Model-written summary · the original posting is authoritative