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Staff, Software Engineer - MLE, People.AI

Fortune #1 retailer employing over 2.3 million associates worldwide, with 1.6 million in the U.S.
Bentonville, AR, USA
$110,000 - $220,000
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Staff, Software Engineer - MLE, People.AI

Join Walmart's Enterprise People Technology team as a Staff Software Engineer specializing in Machine Learning Engineering for the People.AI team. This role focuses on developing and deploying AI/ML solutions that support Walmart's global workforce of over 2.3 million associates. You'll be responsible for building LLM-powered intelligent experiences within chatbots and business applications to enhance associate experience and productivity. The position offers the opportunity to work with cutting-edge technologies including LangChain, LangGraph, and state-of-the-art LLMs while implementing enterprise-grade conversational agents and AI copilots. Based in Bentonville, AR, you'll be part of a team that impacts millions of associates globally while working for the Fortune #1 company. The role offers competitive compensation ranging from $110,000 to $220,000 annually, plus performance bonuses and comprehensive benefits. This is an excellent opportunity for experienced ML engineers looking to make a significant impact on enterprise-scale AI applications while working with modern technologies and frameworks.

Last updated 13 minutes ago

Responsibilities For Staff, Software Engineer - MLE, People.AI

  • Design and develop LLM-powered intelligent applications
  • Build and integrate enterprise-grade conversational agents and AI copilots
  • Implement retrieval-augmented generation (RAG) pipelines
  • Build developer-friendly tools and reusable frameworks
  • Collaborate with Data Scientists, Software Engineers, and Product Managers
  • Enhance clarity and readability of generated knowledge Q&A
  • Work on scalable ML service deployment

Requirements For Staff, Software Engineer - MLE, People.AI

Python
Java
Kubernetes
  • Bachelor's degree in computer science or related field and 4 years' experience, OR 6 years' experience in software engineering
  • Expert-level proficiency in Python or Java
  • Experience with end-to-end ML systems
  • Deep experience in Linux-based development environments
  • Experience with cloud platforms like GCP or Azure
  • Strong SQL knowledge
  • Proficiency in Git version control
  • 5+ years of industry experience
  • Strong communication skills

Benefits For Staff, Software Engineer - MLE, People.AI

Medical Insurance
Vision Insurance
Dental Insurance
401k
Equity
Parental Leave
  • Multiple health plan options including vision & dental plans
  • 401(k) and stock purchase plans
  • Life insurance
  • Associate discounts in-store and online
  • Education assistance for Associate and dependents
  • Parental Leave
  • Military service pay
  • Paid Time off including vacation and sick leave
  • Short-term and long-term disability
  • Performance-based bonus awards

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