Senior, Software Engineer

Walmart Walmart · Retail · Bangalore, KA, India

Senior Software Engineer to design and deploy distributed services utilizing LLMs, RAG frameworks, and agentic techniques for the Sam's Club eCommerce platform, focusing on search, ads, and personalization features. Responsibilities include building scalable pipelines, integrating data, developing ML models, and driving AI initiatives.

What you'd actually do

  1. Implementing Generative AI solutions using RAG for summarization, knowledge retrieval, and building LLM-based agents with vector search for real-time responses.
  2. Designing scalable systems with machine learning pipelines, validating AI-driven features through MVPs, and ensuring detailed solutions.
  3. Supporting architecture decisions, conducting code reviews, and aligning solutions with functional and non-functional requirements.
  4. Driving AI initiatives, mentoring junior engineers, and setting best practices for AI-driven systems.

Skills

Required

  • Java
  • Spring
  • Python
  • Gen AI
  • AI agents
  • distributed systems
  • scalable architectures
  • cloud platforms (GCP, Azure)
  • software design patterns
  • disaster recovery strategies
  • non-functional requirements

Nice to have

  • Bachelor's/Master’s Degree and 6+ years of experience in design and development of consumer facing software.
  • Strong computer science fundamentals: data structures, algorithms, design patterns.
  • Strong desire to drive change, and ability to adapt to change quickly.
  • Strong oral and written communication skills

What the JD emphasized

  • Generative AI
  • LLMs
  • RAG frameworks
  • advanced agentic techniques
  • scalable pipelines
  • integrating external data sources
  • AI-driven products
  • Search, Ads and Personalization
  • Generative AI
  • RAG
  • LLM-based agents
  • vector search
  • scalable systems
  • machine learning pipelines
  • AI-driven features
  • AI initiatives

Other signals

  • Generative AI
  • LLMs
  • RAG frameworks
  • agentic techniques
  • scalable pipelines
  • integrating external data sources
  • AI-driven products
  • Search, Ads and Personalization