Senior, Software Engineer

Walmart Walmart · Retail · Sunnyvale, CA

Senior Software Engineer to build and integrate Generative AI powered applications and platforms, focusing on developing AI-enabled workflows using LLMs, AI agents, RAG, and vector search. The role involves end-to-end feature delivery, system design, and optimization for scalability, latency, and responsible AI practices within a consumer domain.

What you'd actually do

  1. Own delivery of scoped features, services, APIs, user experiences, or AI-powered capabilities from design through production support.
  2. Design, develop, and maintain scalable applications using technologies such as Java, Python, JavaScript, TypeScript, or similar modern languages.
  3. Build and integrate Generative AI solutions using LLMs, AI agents, and machine learning services.
  4. Translate high-level requirements into detailed technical designs, architecture flows, and scalable implementation plans.
  5. Own production quality, service health, and operational excellence of delivered systems.

Skills

Required

  • Java
  • Python
  • APIs
  • distributed systems
  • microservices
  • object-oriented design
  • system architecture
  • SQL / NoSQL databases
  • cloud platforms (AWS, Azure, or Google Cloud)
  • CI/CD
  • testing automation
  • monitoring
  • Agile delivery models
  • debugging
  • problem-solving
  • communication skills

Nice to have

  • LangChain
  • orchestration frameworks
  • vector databases
  • prompt engineering
  • RAG architectures
  • Kubernetes
  • Docker
  • Kafka
  • event-driven systems
  • observability platforms (Prometheus, Grafana, Splunk, or OpenTelemetry)
  • retail
  • eCommerce
  • supply chain
  • logistics
  • customer service domains

What the JD emphasized

  • Hands-on experience building Generative AI or LLM-powered applications.

Other signals

  • building Generative AI powered applications and platforms
  • integrate AI capabilities into products
  • Build and integrate Generative AI solutions using LLMs, AI agents, and machine learning services
  • Develop AI-enabled workflows using prompt orchestration, Retrieval Augmented Generation (RAG), vector search, and external/internal APIs
  • Optimize AI solutions for latency, cost, scalability, reliability, and responsible AI practices