Drimva

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

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)