(IDC) STAFF, SOFTWARE ENGINEER
Walmart Inc. (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 40–70 LPA
Posted on 25 Sept
Reach people at Walmart Inc.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Walmart Inc. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead architectural decisions and best practices for scalable AI-powered full-stack application development integrating LLMs, Generative AI, and traditional ML models.
- Drive end-to-end design, implementation, deployment, and documentation of intelligent systems impacting Walmart associates worldwide.
- Collaborate with cross-functional teams globally including engineering, data science, enterprise architects, and business stakeholders to align AI product roadmaps and technical priorities.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- Minimum 10+ years’ experience in software design, development, and automated deployments.
- Mandatory skills: Java (including Java/J2EE, Spring Boot, Spring MVC), Kafka, Spark, microservices architecture, REST API development, CI/CD tools (Git, Maven, Jenkins).
- Experience integrating foundational LLM models, RAG framework using Spring AI and LangChain4j, working with embedded Vector DBs (pgvector, Milvus), Redis semantic caching, and reactive programming (Webflux or similar).
Ideal Candidate Profile
- Experienced senior software engineer with strong background in scalable Java backend and AI/ML integration solutions.
- Proven capability in leading cross-functional, global teams and engaging with senior leadership to define AI technology roadmaps.
- Hands-on with modern cloud-native microservices architectures and expertise in full application lifecycle from design to production troubleshooting.