<h2>Position Summary...</h2><h2>What youll do...</h2>About the Role:We are looking for a Staff Software Engineer who is an expert in Python, with a deep mastery of LLM-driven systems, agentic architectures, and scalable intelligent automation. This is a pivotal role where youll define and implement the technical strategy, influence architecture decisions, and lead the creation of next-gen AI-driven platform that move beyond prompt engineering into modular reasoning system.This role isn’t about building one-off workflows—it’s about inventing and hardening intelligent systems that can reason, act, and adapt. You will shape the core architecture of multi-agent platforms, ensure LLM integrations are secure, efficient, and observable, and build frameworks that others can extend across use cases and orgs.Key Responsibilities:<ul><li>Architect modular, testable, and composable Python systems that support multi-agent workflows, tool-chaining, RAG, memory management, and fallback strategies.</li><li>Design LLM-powered execution engines that support both high throughput and adaptive reasoning (via LangChain, AutoGen, or custom frameworks).</li><li>Lead implementation of retrieval-augmented generation (RAG) pipelines, semantic search, and structured knowledge memory systems.</li><li>Build and scale integrations with internal LLMs, including handling signature-based auth, function calling, and context management at scale.</li><li>Drive end-to-end lifecycle: from configuration schema (YAML) to execution trace logging, observability, and self-healing recovery patterns.</li></ul>Must-Have Qualifications:<ul><li>8 + years of professional software engineering experience, with 5+ years in Python, building distributed systems at scale.</li><li>Deep knowledge of agentic design patterns, including:</li><li>ReAct, Plan-and-Execute, AutoGen-style coordination</li><li>Tool calling, dynamic agent routing, and recursive agent planning</li><li>Semantic memory, embedding-based context lookup, summarization windows</li><li>Expertise in building LLM-based systems with LangChain, OpenAI, Anthropic, or custom orchestrators.</li></ul>Hands-on experience with:<ul><li>RAG pipelines using vector stores (FAISS, Pinecone, Weaviate, Qdrant, Azure Cognitive Search)</li><li>LLM evaluation and observability (tracing, token usage, agent state tracking)</li><li>Workflow orchestration using config-first approaches (YAML/JSON definitions, step runners, etc.)</li><li>Proven ability to drive technical vision, resolve ambiguity, and make architectural tradeoffs at scale.</li><li>Strong background in distributed systems, task queues, asynchronous workflows, and backend performance optimization.</li><li>Experience in cloud-native environments (AWS, GCP, or Azure), including containerization, monitoring, and secure API integrations.</li></ul>Nice-to-Have:<ul><li>Built or contributed to a custom agentic orchestration framework used across multiple product lines.</li><li>Experience with vector search optimization, context ranking, or temporal memory solutions.</li><li>Published talks, blogs, or papers on LLM systems, AI architecture, or applied reasoning frameworks.</li><li>Deep understanding of how to apply LLM systems in regulated or high-compliance environments (PII handling, redaction, observability).</li><li>Exposure to DevEx platforms for developers to build workflows on top of intelligent agents.</li><li>Familiarity with multi-modal agents (text + vision), LLM simulation patterns, or offline evaluation loops.</li></ul>What Success Looks Like:You’ve built an agent platform that others across the org use as the foundation for intelligent automation.You turn abstract ideas into clean, extensible, production-grade Python systems that scale and evolve.You elevate technical conversations, coach Staff+ engineers, and are the go-to person for unblocking complex challenges.You are not just LLM-aware—you pioneer how LLMs are applied in production systems, with a clear perspective on whats reliable, efficient, and future-proof.Your influence goes beyond code—you shape tech culture, architectural direction, and platform vision.At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.‎ ‎ ‎ You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.‎ For information about PTO, see <a href="https://one.walmart.com/notices" target="_blank">https://one.walmart.com/notices</a>.‎ ‎ Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sams Club facilities. Programs range from high school completion to bachelors degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.‎ Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.‎ For information about benefits and eligibility, see <a target="_blank" href="https://bit.ly/3iOOb1J">One.Walmart</a>.‎ The annual salary range for this position is $110,000.00-$220,000.00‎ Additional compensation includes annual or quarterly performance bonuses.‎ Additional compensation for certain positions may also include:‎ ‎ - Stock‎ ‎ <h2></h2><h2>Minimum Qualifications...</h2>Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area. Option 2: 6 years’ experience in software engineering or related area.<h2></h2><h2>Preferred Qualifications...</h2>Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years experience in software engineering or related area, We value candidates with a 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. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.<h2></h2><h2>Primary Location...</h2>508 Sw 8Th St, Bentonville, AR 72712, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Walmart

(USA) Staff, Software Engineer

Walmart

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