Senior, Software Engineer

Walmart Walmart · Retail · Chennai, India

Senior Software Engineer role focused on building AI-driven solutions, intelligent automation, and Agentic AI services within Walmart's operations. Requires strong software engineering skills, experience with LLMs, RAG, agentic frameworks, and distributed systems.

What you'd actually do

  1. Diagnose and resolve complex production issues involving distributed systems.
  2. Develop reusable platform components, frameworks, and APIs to improve engineering productivity across teams.
  3. Collaborate closely with product managers, architects, customer teams, and partner engineering organizations to deliver end-to-end solutions.
  4. Drive architecture, design, implementation, and operational readiness of platform capabilities from concept to production.
  5. Improve platform scalability, reliability, observability, and cost efficiency through performance optimizations and architectural enhancements.

Skills

Required

  • 6+ years of software engineering experience building large-scale distributed systems.
  • Strong programming experience in Java, Python.
  • Strong foundation in data structures, concurrency, and system design.
  • Experience with distributed stream processing frameworks such as Kafka and Flink.
  • Strong understanding of distributed systems concepts with experience designing cloud-native microservices and REST APIs.
  • Production experience building AI-powered applications using Large Language Models (LLMs), Agentic AI frameworks (e.g., LangGraph-style planners, tool-use patterns, retrieval, and memory components), Retrieval-Augmented Generation (RAG), and workflow orchestration.
  • Experience with vector databases (e.g., Milvus, pgvector) and feature stores.
  • Hands-on experience with Kubernetes, Docker, and cloud platforms.
  • Experience building highly available production systems with strong observability using metrics, dashboards, logging, and alerting.
  • Strong debugging and performance tuning skills for distributed applications.
  • Excellent communication skills with the ability to work across multiple engineering organizations and customer teams.
  • Demonstrated ownership mindset with experience driving projects independently from design through production rollout.

What the JD emphasized

  • AI-driven solutions
  • intelligent automation
  • Agentic AI services
  • LLMs
  • Agentic AI frameworks
  • Retrieval-Augmented Generation (RAG)
  • workflow orchestration
  • vector databases
  • highly available production systems

Other signals

  • AI-driven solutions
  • intelligent automation
  • Agentic AI services
  • LLMs
  • RAG