Software Engineer - GenAi
Job in
Sunnyvale, Santa Clara County, California, 94087, USA
Listed on 2026-04-20
Listing for:
Walmart
Full Time
position Listed on 2026-04-20
Job specializations:
-
Software Development
AI Engineer, Full Stack Developer, Cloud Engineer - Software, Software Engineer
Job Description & How to Apply Below
Position Summary
Position Summary...
What you’ll doWe're hiring a Staff Software Engineer to pioneer this frontier— not building foundation models from scratch, but expertly integrating GenAI and LLMs into production e-commerce systems that scale to billions of interactions. If you're passionate about transforming cutting‑edge AI from prototypes into real‑world impact, influencing architectures across teams, and shipping features that redefine global shopping—let’s connect.
About You- You live for code that drives real impact . You thrive in JavaScript, Node.js, and GraphQL , embracing JS’s quirks while crafting clean, functional, and shippable masterpieces. But now, you’re thrilled to overlay GenAI —building intelligent frontends and services that pulse with life.
- You obsess over AI‑powered UX that wows . You don't just code pixels; you design experiences where AI anticipates, delights, and empowers users —fusing creativity, empathy, and technical precision.
- You're a relentless learner , diving deep into emerging tech like LLMs, agents, RAG, and evaluation frameworks , and turning research into production magic—whether orchestrating frontends, integrating backends, or creating full‑stack AI flows.
- You master scale with finesse :
Handling performance on unpredictable networks, A/B testing AI variants , implementing safety/quality guardrails , and navigating rapid ecosystem shifts—all while shipping fast and boldly. - You amplify teams :
Mentoring peers, building shared AI tooling , contributing to open‑source where it fits, and elevating everyone in the GenAI era .
As a Staff Software Engineer in Walmart International, you’ll shape AI‑driven shopping across diverse markets:
- Define and drive technical strategy for GenAI‑powered experiences —architect scalable frontend/backend solutions that integrate LLMs intelligently, ensuring 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 as the backbone for LLM‑powered services. - Ship and optimize GenAI/LLM features at massive scale —design APIs and service architectures that seamlessly blend AI/ML components , manage token costs, latency, and safety , and deliver measurable delight to millions .
- Refactor and evolve codebases —making them modular, maintainable, and primed for the next wave of AI innovation .
- Collaborate cross‑functionally —with product, design, UX, backend, and AI research teams —to craft cohesive, magical customer experiences.
- Build internal AI best practices —create reusable tooling,
evaluation frameworks , coding standards, and documentation to accelerate the entire organization. - Mentor and influence —lead code reviews, guide engineers, drive developer productivity initiatives, and shape technical direction through expertise, collaboration, and vision .
- Push boundaries —experiment with emerging GenAI techniques , share insights internally (and externally when possible), and own large‑scale projects impacting global e‑commerce daily .
- 10+ 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, GraphQL ) 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).
- Familiarity with cloud platforms …
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