(USA) Staff, Software Engineer - Full Stack
WalmartAbout the role
Position Summary...
What you'll do...
Walmart’s Enterprise Business Services (EBS) is a powerhouse of seven exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart. As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Joining EBS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart.Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.
About Team:
Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.
What you'll do:
As a Staff Software Engineer, you'll play a pivotal role in advancing the company’s capabilities in artificial intelligence, particularly in developing, optimizing, and deploying generative AI applications. By developing state-of-the-art frameworks and tools, you will empower engineers and other stakeholders to maximize the potential of generative AI across the organization. In addition, you will:
- End-to-End AI Solutioning: Own the lifecycle of generative AI initiatives, from ideation to deployment, ensuring robust and scalable production systems.
- Scalability and Reliability: Ensure the scalability and reliability of systems by implementing robust CI/CD pipelines, monitoring solutions, and alerting systems.
- Cross-Functional Collaboration: Partner with engineers, business, UX and product teams to integrate generative AI capabilities into Headspaces products and services.
- Knowledge Sharing and Mentorship: Guide and mentor team members, fostering a culture of technical excellence and continuous learning.
What you'll bring:
- Overall 9+ years of experience in design and development of highly-scalable applications and platform development with 2+ years in Generative AI or LLMs.
- Expertise in Python, Java, Spring and libraries like Hugging Face Transformers.
- Proficiency in distributed computing, cloud platforms (GCP, Azure), and scalable architectures.
- Familiarity with disaster recovery principles and building resilient, fault-tolerant systems.
- Strong understanding of system design, non-functional requirements, and design patterns.
- Skilled at translating complex technical concepts into actionable insights for stakeholders.
- Deep knowledge and experience in building complex, large-scale, mission-critical machine learning applications with microservice architecture in Kubernetes.
- Experience with Generative AI models (e.g., GPT, Gemini).
- Extensible knowledge in using FastAPI, LangChain, LangGraph, Vector Databases (VectorDB), PyTest and retrieval-augmented generation (RAG).
- Experience with
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