Kohl's
Kohl's
Kohl's अमेरिका की एक खुदरा कंपनी है, जो देशभर में फैले स्टोर नेटवर्क को ऑनलाइन शॉपिंग प्लेटफ़ॉर्म के साथ जोड़ती है। इसके उत्पादों में परिधान, घरेलू सामान, सौंदर्य उत्पाद और रोज़मर्रा की अन्य वस्तुएँ शामिल हैं। Sephora के साथ साझेदारी के तहत Kohl’s में Sephora के सौंदर्य उत्पाद भी उपलब्ध हैं। कंपनी का संचालन केवल ग्राहकों के सामने होने वाली खुदरा गतिविधियों तक सीमित नहीं है, बल्कि इसमें वितरण केंद्र, क्रेडिट और कॉल सेंटर टीमें तथा डिज़ाइन और कॉर्पोरेट कार्य भी शामिल हैं। इसलिए Kohl's में भर्ती से जुड़े अवसरों में ओम्नीचैनल वाणिज्य, स्टोर संचालन, ऑर्डर पूर्ति, ग्राहक सेवा और कॉर्पोरेट रिटेल टीमों का सहयोग करने वाली भूमिकाएँ शामिल हो सकती हैं। कंपनी ग्राहक-प्रथम सेवा और समावेशी कार्यस्थल संस्कृति पर ध्यान देने की बात कहती है।

Staff AI Full-Stack Engineer - Onsite in Menomonee Falls

Lead enterprise AI development across backend services, retrieval-augmented generation, and agentic workflows. Collaborate with engineering, product, design, and data science teams to improve retail customer experiences.

विवरण

  • Lead the development of robust, observable, measurable applications through user-centered extreme programming practices
  • Own the full application lifecycle in partnership with designers, product managers, and engineers
  • Apply critical thinking, lean experimentation, data, and industry practices to deliver business results
  • Define and advance product engineering and software standards
  • Support junior engineers through pair programming, one-on-one coaching, and informal guidance
  • Promote strong partnerships, collaborative delivery, technical initiatives, and continuous feedback
  • Adapt and champion extreme programming methods across teams
  • Design modular, headless AI backend services with advanced RAG and multi-agent orchestration capabilities
  • Build enterprise MCP gateways, API integration and mediation layers, rate limiters, and security proxies
  • Create streaming simulation frontends for testing agent behavior, prompt strategies, and human-in-the-loop workflows
  • Work with applied data science and machine learning specialists to fine-tune SLMs, apply AWQ/GPTQ quantization, and improve GPU inference memory usage
  • Implement distributed tracing, token usage logging, and inference latency monitoring
  • Deliver reusable libraries, containerized microservices, and integration SDKs
  • Architect resilient Compound AI Systems that route requests across deterministic APIs, specialized SLMs, and frontier LLMs

आवश्यकताएँ

  • At least 6 years of experience building and scaling production applications with foundation models, RAG, or agentic workflows
  • At least 6 years of experience securely connecting AI applications to enterprise data, APIs, and identity and access controls
  • At least 4 years of experience measuring and improving AI application quality, latency, reliability, and cost
  • At least 6 years of professional software development experience
  • Ability to prioritize and manage multiple competing demands
  • Advanced understanding of application design patterns, event-driven architecture, database schemas, and testing approaches
  • Experience troubleshooting and tuning performance in large-scale applications
  • Hands-on experience with major cloud platforms such as GCP, AWS, or Azure
  • Knowledge of and experience with continuous integration, continuous deployment, and test-driven development
  • Bachelor's degree or equivalent in management information systems, computer science, or a related field preferred

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