Senior, Software Engineer – Python, Gen AI Developer

Walmart · Retail · Sunnyvale, CA

Senior Software Engineer role focused on building scalable APIs and services for Walmart's Global Sourcing Backend team, specifically integrating and deploying Generative AI models (like GPT or Gemini) into applications. The role involves developing Python services, pre-processing text, implementing API endpoints, integrating safety modules, and potentially building user interfaces with React. Experience with cloud technologies (Azure, GCP), microservices, and API design is required.

What you'd actually do

  1. Lead by example a team of 3-4 members. Show your chops as an exceptional and experienced developer
  2. Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales.
  3. Identifying short and long- term solutions and timeline; reviewing and approving proposed solutions, implementing new architectural patterns; and performing design and code reviews of changes.
  4. Provides support to the business for new and existing systems by responding to user questions, concerns, and issues (for example, technical feasibility); researching and identifying needed solutions; determining implementation designs; providing guidance regarding implications of new and enhanced systems; and directing users to appropriate contacts for issues outside of own domain.
  5. Troubleshoots business and production issues by gathering information (for example, issue, impact, criticality); performing root cause analysis to reduce future issues; engaging support teams when needed; developing solutions; driving the development of an action plan; performing actions as designated in the plan; and completing online documentation.

Skills

Required

  • Python
  • Generative Pre-trained Transformer (GPT) model integration
  • Text pre-processing
  • API development (Flask, Fast API)
  • Safety module integration for AI outputs
  • React (for UI development)
  • API Gateway development (Node.js, Express.js)
  • Continuous integration/deployment (Jenkins)
  • Cloud Technologies (Azure, GCP)
  • Scalable cloud native microservices
  • API design
  • Java/Python
  • Design Patterns

Nice to have

  • Gemini model integration
  • Redux
  • Context API
  • Maven

What the JD emphasized

  • Utilize libraries like to integrate a pre-trained Generative Pre-trained Transformer (GPT) model like or Gemini.
  • Develop a text pre-processing module to handle user input, cleaning and formatting text for optimal model performance.
  • Implement an API endpoint using a framework like Flask or Fast API to receive user prompts and send them to the Gen AI model.
  • Integrate a safety module to filter out potentially harmful or biased outputs from the model.

Other signals

  • Integrate a pre-trained Generative Pre-trained Transformer (GPT) model like or Gemini.
  • Implement an API endpoint using a framework like Flask or Fast API to receive user prompts and send them to the Gen AI model.
  • Integrate a safety module to filter out potentially harmful or biased outputs from the model.