(USA) Staff, Software Engineer

Position Summary...

What you'll do...

Who We Are
Walmart is a multinational, people-led, tech-powered omnichannel retailer with over 2.2 million associates. At People.AI, we support and empower Walmart’s People function with AI and GenAI solutions to enhance productivity, seize growth opportunities, prioritize well-being, and foster a culture of belonging for Walmart associates in both the U.S. and international markets. People.AI is a full-stack Generative AI team dedicated to delivering personalized, trusted, and robust knowledge, data, and actions to users.

What We Do

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  At People.AI, we focus on Gen AI and AI powered knowledge, data and action automation.

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  We developed a Retrieval-Augmented Generation (RAG) based knowledge Q&A system for internal associates by ingesting Walmart-specific policies, the company handbook, and process guides.

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  We engineered a next-generation agentic system to automate HR transactions for managers and people partners through a natural language conversational interface.

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  We implemented text-to-SQL and agentic analytics capabilities to convert data into actionable insights.

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  We are seeking an exceptional Staff Software Engineer to join the People.AI team, focusing on driving observability, automation, and scalability for conversational Enterprise Knowledge Q&A and self-service action experiences. This role will play a crucial part in enhancing system transparency, streamlining processes, and expanding capabilities to meet increased demand, ultimately improving user autonomy in accessing and utilizing HR and business resources.

 What You'll Do

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  Collaborate with Software Engineers: Work closely with other software engineers to develop innovative solutions.

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  Develop Scalable and Personalized Experiences: Utilize your understanding of product requirements, GenAI technology stack, and software architecture to enhance associate experiences.

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  Partner with Leaders: Collaborate with People.AI product and business leaders to ensure alignment and integration of ML solutions into existing software and systems.

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  Cross-functional Collaboration: Work with product, science, and peer engineering teams to bring products to life.

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  Manage Software Development Dependencies: Work with product, science, information security, and peer engineering teams to identify and manage dependencies effectively, ensuring streamlined development processes.

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  Anticipate and Mitigate Risks: Proactively identify potential risks in the software development lifecycle and implement strategies to mitigate them, ensuring timely and successful project delivery.

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  Integrate Testing and Maintenance: Implement robust testing frameworks and maintenance protocols to ensure the reliability and performance of software. Collaborate with cross-functional teams to address technical challenges and ensure sustained system functionality.

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  Cloud-Based Architectures: Leverage or build cloud-based architectures, technologies, and platforms to deliver optimized ML models at scale.

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  Model MLOps Best Practices: Implement CI/CD best practices, including test automation, automated deployments, model retraining, and monitoring to ensure the successful deployment and continuous operation of ML systems and pipelines.

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  Stay Updated: Keep abreast of the latest state-of-the-art techniques in machine learning applications/models and foster a culture of continuous learning within the organization.

What You'll Bring

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  Python Expertise: A deep understanding of Python and its principles, with the ability to apply them effectively. Python will be your primary language, with some use of JavaScript.

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  Code Quality Leadership: Responsible for code reviews and setting high code quality standards for the team.

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  Architectural Design Experience: Demonstrated experience in leading architecture design.

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  ML Pipeline Expertise: Extensive knowledge and experience in building scalable, distributed end-to-end machine learning pipelines and services.

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  Technical Proficiency: Highly skilled in the technologies we use and learn daily, including API Design, scaling appl