Principal, Software Engineer - GenAi

Position Summary... What you'll do...

We’re hiring a Principal Engineer to lead this frontier—not building foundation models from scratch, but expertly weaving GenAI and LLMs into production e‑commerce systems that scale to billions of interactions. If you’re passionate about taking cutting‑edge AI from prototype to real‑world impact, influencing architecture across teams, and shipping features that redefine how the world shops—let’s talk.

Focusing on customer, associate and business needs, this team works with Walmart International, which includes more than 5,200 retail units, operating in 23 countries such as Canada, Central America, Chile, China, India, Mexico and South Africa to name a few.

• You live for code that matters. You thrive on JavaScript, Node.js, and Graph
  
  QL, embracing JS’s quirks while crafting clean, functional, shippable magic. But now, you’re excited to layer GenAI on top—building intelligent frontends and services that feel alive.

• You obsess over great UX powered by AI. You don’t just code pixels; you design experiences where AI anticipates, delights, and empowers users—blending creativity, empathy, and technical precision.

• You are a relentless learner. You dive into emerging tech (LLMs, agents, RAG, evaluation frameworks) and turn research into production reality—whether it’s frontend orchestration, backend integrations, or full‑stack AI flows.

• You master balance formance on unpredictable networks, A/B tests with AI variants, safety/quality guardrails, rapid ecosystem shifts—you juggle it all while shipping fast and fearlessly.

• You amplify others. You mentor, build shared AI tooling, contribute to open‑source when it makes sense, and help teams level up in the GenAI era.

• Define and drive technical strategy for GenAI‑powered experiences—architect scalable frontend/backend solutions that integrate LLMs intelligently, with rock‑solid code quality, performance, security, and observability.

• Lead development of AI‑infused features —craft React UIs with intelligent components, manage state in dynamic AI contexts (Redux + React Query), and build efficient Graph
  
  QL APIs that serve as the nervous system for LLM‑powered services.

• Ship and optimize GenAI/LLM features at massive scale—design APIs and service architectures that seamlessly integrate AI/ML components, handle token costs/latency/safety, and deliver measurable delight to millions.

• Refactor and evolve codebases—make them modular, maintainable, and ready for the next wave of AI innovation.

• Collaborate cross‑functionally—with product, design, UX, backend, and AI research teams—to create cohesive, magical customer experiences.

• Build internal AI best practices—create reusable tooling, evaluation frameworks, coding standards, and documentation that accelerate the entire org.

• Mentor and influence—lead code reviews, guide engineers, drive initiatives for developer productivity, and shape technical direction through influence, not just authority.

• Push boundaries—experiment with emerging GenAI techniques, contribute insights internally (and externally when possible), and own large‑scale projects that impact global e‑commerce daily.

• 12+ years of software engineering experience building and shipping large‑scale, production systems.

• Proven track record shipping distributed systems in Java (or equivalent high‑scale languages).

• Hands‑on experience shipping GenAI or LLM‑powered features/services as part of larger production systems.

• Strong experience designing APIs and service architectures that integrate with AI/ML components.

• Deep expertise in modern JavaScript ecosystems (React, Node.js, Graph
  
  QL) and performance optimization, testing, CI/CD.

• Demonstrated ability to influence technical direction without direct authority—through expertise, collaboration, and vision.

• Expertise with GenAI tools/patterns (e.g., RAG, agents, prompt orchestration, evaluation pipelines).

• Experience operationalizing LLM evaluation frameworks —including offline benchmarks, automated + human review loops, production monitoring for quality, safety, and business impact (nice to have, but highly valued).

• Fa…