Design, develop, and deploy LLM-powered intelligent applications that enhance productivity and engagement for Walmart associates.
Build and integrate enterprise-grade conversational agents and AI copilots into chatbots, internal portals, and business applications.
Leverage state-of-the-art LLMs and frameworks like LangChain, LangGraph to create dynamic, natural language interfaces over enterprise data.
Implement retrieval-augmented generation (RAG) pipelines using vector databases such as Milvus or FAISS.
Build developer-friendly tools and reusable frameworks that abstract key aspects of ML and LLM system complexity.
Act as a platform enabler and technical collaborator with Data Scientists, Software Engineers, Product Managers, and MLOps/DevOps teams.

Requirements

Expert-level proficiency in programming languages such as Python or Java.
Proven experience designing, developing, and operationalizing end-to-end ML systems.
A solid understanding of core machine learning principles.
Deep experience in Linux-based development environments, along with containerization using Docker and orchestration with Kubernetes.
Hands-on experience working with cloud platforms like Google Cloud Platform (GCP) or Microsoft Azure.
Proficiency in building and scaling API-based services and distributed systems.
Strong working knowledge of SQL and modern data engineering practices.
Proficient in version control with Git.
5+ years of industry experience.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonJavamachine learningLLMLangChainLangGraphretrieval-augmented generationSQLDockerKubernetes