Distinguished – Software Engineer
| Company | Walmart |
|---|---|
| Location | Bentonville, AR, USA, Bellevue, WA, USA |
| Salary | $130000 – $312000 |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Expert or higher |
Requirements
- Expert-level proficiency in programming languages such as Python or Java, with a strong track record of delivering high-performance, production-grade code for machine learning applications.
- Proven experience designing, developing, and operationalizing end-to-end ML systems, including data ingestion, feature engineering, model training, deployment, and monitoring.
- A solid understanding of core machine learning principles, including various model families (e.g., tree-based models, deep neural networks), feature selection techniques, and practical challenges such as data quality, bias, and concept/data drift.
- Deep experience in Linux-based development environments, along with containerization using Docker and orchestration with Kubernetes for scalable ML service deployment.
- Hands-on experience working with cloud platforms like Google Cloud Platform (GCP) or Microsoft Azure, with familiarity in their AI/ML tools, infrastructure components, and DevOps ecosystems.
- Proficiency in building and scaling API-based services and distributed systems, and in managing workflows using tools such as Apache Airflow or similar orchestration frameworks.
- Strong working knowledge of SQL and modern data engineering practices, enabling seamless integration of ML pipelines with batch and streaming data sources.
- Proficient in version control with Git, and experienced in collaborating within agile, cross-functional software teams.
- A deep grasp of software engineering best practices, including API design, automated testing, CI/CD pipelines, and observability for ML-driven systems.
- Clear and confident communication skills, with the ability to understand cross-functional requirements and translate them into scalable technical solutions.
- 12+ years of industry experience, with a demonstrated ability to take ownership of complex projects and deliver impactful AI/ML solutions from concept to production.
- A mindset grounded in intellectual curiosity, with a passion for MLOps, cloud-native technologies, and driving innovation in scalable AI infrastructure.
Responsibilities
- Design, develop, and deploy LLM-powered intelligent applications that enhance productivity and engagement for Walmart associates across the globe.
- Build and integrate enterprise-grade conversational agents and AI copilots into chatbots, internal portals, and business applications to automate tasks, improve communication, and provide real-time, contextualized support.
- Leverage state-of-the-art LLMs and frameworks like LangChain and LangGraph to create dynamic, natural language interfaces over enterprise data.
- Implement retrieval-augmented generation (RAG) pipelines using vector databases such as Milvus or FAISS to enable deep integration with Walmart’s knowledge ecosystem.
- Enhance the clarity, conciseness, and readability of generated knowledge Q&A to ensure it is well-suited for voice-based service agents.
- Build developer-friendly tools and reusable frameworks that abstract key aspects of ML and LLM system complexity—enabling developers without prior ML experience to quickly build high-quality, scalable AI solutions with minimal friction, while maintaining reliability, governance, and performance standards.
- Act as a platform enabler and technical collaborator, working closely with Data Scientists, Software Engineers, Product Managers, and MLOps/DevOps teams to streamline model deployment, monitoring, and lifecycle management.
Preferred Qualifications
- Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.
- Background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
- Knowledge of accessibility best practices and a commitment to creating accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.