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Kohl's
Kohl's
B2CComerț cu amănuntulComerț electronic
Kohl's este o companie americană de retail care combină o rețea de magazine la nivel național cu o platformă de cumpărături online. Gama sa include îmbrăcăminte, articole pentru casă, produse de înfrumusețare și alte produse de zi cu zi, inclusiv produse de înfrumusețare Sephora prin parteneriatul cu Sephora at Kohl’s. Activitatea companiei depășește zona de retail orientată către clienți și include centre de distribuție, echipe de creditare și centre de apeluri, precum și funcții de design și funcții corporative. Prin urmare, contextul angajărilor la Kohl's poate include oportunități care sprijină comerțul omnichannel, operațiunile magazinelor, procesarea comenzilor, serviciul pentru clienți și echipele corporative de retail, cu un accent declarat pe servicii orientate în primul rând către client și pe o cultură organizațională incluzivă.
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Locurile de muncă ale companiei

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.

USStatele Unite ale AmericiiWIWisconsinLa sediuNormă întreagăLiderLimbă Obligatorie: englezăInginer full-stackInginer software
AWSAzureCloudGoogle Cloud PlatformMicroservicii

Descriere

  • 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

Cerințe

  • 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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