(usa) Staff, Software Engineer

Walmart · Retail · Sunnyvale, CA

Staff Software Engineer at Walmart (Sam's Club MAP Engineering) to lead the design, development, and scaling of full-stack Agentic AI platforms and applications. The role involves building LLM-powered solutions including agent workflows, retrieval-based systems, tool integrations, reasoning pipelines, and evaluation frameworks using Python and JavaScript. The position requires strong system design, technical leadership, and experience with AI/ML applications.

What you'd actually do

  1. Lead the design, development, and scaling of full-stack Agentic AI platforms and applications that automate business workflows and accelerate the growth of Sam’s Club’s advertising business.
  2. Build and deploy intelligent software systems using Python and JavaScript, across backend services, APIs, orchestration frameworks, and front-end experiences.
  3. Develop LLM-powered solutions including agent workflows, retrieval-based systems, tool integrations, reasoning pipelines, and evaluation frameworks.
  4. Partner closely with product, engineering, data, and business stakeholders to identify high-value opportunities and deliver scalable AI-driven solutions.
  5. Drive technical excellence through strong system design, code quality, testing, observability, and operational best practices.

Skills

Required

  • 6+ years of experience designing and building scalable distributed systems and full-stack applications.
  • Strong proficiency in Python/Java and JavaScript, with a track record of delivering high-quality production software.
  • Hands-on experience building Agentic AI and LLM-based applications, including orchestration, prompt design, tool use, retrieval, and evaluation.
  • Experience translating business problems into practical, scalable software and AI solutions.
  • Strong understanding of API design, system integration, application security, and cloud-native engineering principles.
  • Proven technical leadership with experience mentoring engineers, leading design discussions, and driving engineering best practices.
  • Excellent communication and collaboration skills, with the ability to work effectively across technical and business teams.

What the JD emphasized

  • Agentic AI
  • LLM-based applications
  • orchestration
  • prompt design
  • tool use
  • retrieval
  • evaluation

Other signals

  • Agentic AI platforms
  • LLM-powered solutions
  • automation of business workflows