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Walmart Logo

Senior, Software Engineer

Walmart

$90,000 - $180,000
Sep 17, 2025
Bentonville, AR, US
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Walmart's mission to transform the in-store associate and manager experience through AI-powered and Agentic AI solutions, building next-generation applications that enhance productivity, collaboration, and decision-making for millions of associates worldwide.

Requirements

  • Hands-on experience deploying AI/ML and agent-based applications into production.
  • Proficiency in Python, Java, Node.js, and modern frameworks (Spring Boot, LangChain, LangGraph).
  • Experience with multi-agent orchestration frameworks and LLM-powered workflows.
  • Strong knowledge of cloud-native platforms (Azure, Kubernetes, Docker).
  • Experience with GraphQL and databases (Azure SQL, Cassandra, Cosmos DB).
  • Solid understanding of distributed systems, scalability, and disaster recovery.
  • Experience with CI/CD pipelines, monitoring tools, and automated testing.

Responsibilities

  • Design scalable, distributed, and resilient AI/ML solutions for enterprise use.
  • Architect multi-agent orchestration workflows, where specialized AI agents collaborate to solve complex tasks.
  • Research, prototype, and implement Agentic AI applications leveraging frameworks like LangChain, LangGraph, AutoGen, or Semantic Kernel.
  • Build and optimize multi-agent orchestration pipelines, enabling task decomposition, coordination, and collaboration among AI agents.
  • Implement Retrieval-Augmented Generation (RAG) pipelines, vector stores, embeddings, and query expansion techniques.
  • Write clean, maintainable, and secure code in Python, Java, JavaScript/Node.js.
  • Build backend services with Spring Boot, GraphQL, and event-driven architectures (Kafka, JMS).

Other

  • Partner with stakeholders to gather, analyze, and classify requirements (functional, non-functional, emergent).
  • Identify risks, gaps, and opportunities between business needs and existing solutions.
  • Translate business objectives into Agile-friendly user stories and technical designs.
  • Convert high-level designs into detailed solution components (mock screens, pseudocode, functional logic).
  • Evaluate trade-offs across performance, scalability, and cost.