This role pays less than
85%
of similar roles. Most pay
$182,500–$246,500
— the shaded band above.
At the midpoint, this role pays about
$165k
versus about
$214k
for comparable roles.
Based on 240 similar postings.
Employer
About Walmart
Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail
Walmart currently has
184 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 180 roles with salary data.
Staff, Software Engineer - Python/GenAI joins the Associate Experience Platform team to strengthen the GenAI experience platform for internal associates. You will develop critical platform capabilities using cutting-edge GenAI technologies, building reusable services and advanced semantic routing features to direct requests to appropriate models based on context. Responsibilities include building evaluation pipelines for routing data, implementing agent-to-agent communication protocols, and maintaining microservices using FastAPI and event-driven architectures like Kafka, SSE, and WebSocket. The role requires expertise in Python, Git, Linux, and Docker, alongside experience with LangChain, Hugging Face, and vector databases like Pinecone or FAISS. You will solve complex problems regarding multi-agent system orchestration and productionize GenAI models while ensuring operational excellence through monitoring and troubleshooting. This position focuses on the technical challenge of scaling intelligent automation within a large-scale enterprise environment.
What does a Software Engineer earn?
Median $197500 from 2196 postings across 133 companies.
Develop platform features for advanced semantic routing to direct GenAI requests to appropriate models based on context.
Build and maintain evaluation pipelines, including metrics and dashboards, to assess routing accuracy and system performance.
Collaborate with researchers and data scientists to improve semantic routing algorithms and integrate natural language understanding advancements.
Implement agent-to-agent communication protocols to enable seamless orchestration between multiple GenAI agents and services.
Develop platform features using Python, FastAPI, and event-driven architectures like Kafka and WebSockets.
Maintain engineering standards by utilizing automation, the DRY principle, and high-performing production code.
Provide production support through monitoring, troubleshooting, and participating in on-call rotations for core systems.
What we're looking for
Must have a Bachelor's degree in computer science or a related field and 4 years of software engineering experience, or 6 years of experience without a degree.
Must be an expert in Python with a proven track record of writing high-performing, production-quality code.
Must have hands-on experience designing and building Python-based web services using FastAPI.
Must be proficient with Git version control, Linux environments, and containerization technologies like Docker.
Preferred: Experience developing or deploying GenAI applications using frameworks such as LangChain, Hugging Face, or OpenAI API.
Preferred: Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and prompt engineering for GenAI workflows.
Preferred: Experience with semantic routing, MLOps tools (MLflow, Kubeflow, Airflow), and large-scale data pipelines.
Preferred: Knowledge of Web Content Accessibility Guidelines (WCAG) 2.2 AA standards and assistive technologies.