Kohl's

Full-stack Engineer

• Lead development of robust, observable, and measurable applications using extreme programming practices and a user-centric approach
• Navigate the entire application lifecycle with designers, product managers, and engineers
• Leverage critical thinking, lead lean experimentation, and use data and industry best practices to drive business outcomes
• Establish and lead product engineering and software standards
• Mentor junior team members through pairing sessions, one-on-ones, and ad hoc guidance
• Model partnership, collaboration, technical initiatives, and regular feedback
• Champion and customize extreme programming practices
• Design and build modular, headless AI backend services, advanced RAG architectures, and multi-agent orchestration workflows
• Construct enterprise-grade MCP gateways, API integration/mediation layers, rate limiters, and security proxies
• Develop streaming simulation frontends to validate agent behaviors, prompt strategies, and human-in-the-loop workflows
• Collaborate with Applied/Data Science and Machine Learning specialists to fine-tune SLMs, perform AWQ/GPTQ quantization, and optimize GPU memory for inference
• Instrument distributed tracing, token utilization logging, and inference latency telemetry
• Package reusable code libraries, containerized microservices, and integration SDKs
• Architect resilient Compound AI Systems routing between deterministic APIs, specialized SLMs, and frontier LLMs

Staff AI Full-Stack Engineer

Data Scientist

• Work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making
• Lead exploratory data analysis to cull actionable insights
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions
• Develop and implement statistical and machine learning models
• Fine-tune, optimize and ensure the scalability of models and algorithms
• Aid in designing experiments to answer targeted questions
• Identify and drive continuous improvement of key business metrics in an assigned business functional area
• Drive adoption and usage of data science products and models
• Translate data science outputs into business outcomes and value delivered
• Mentor and guide junior data scientists, providing technical expertise and fostering a culture of continuous learning and development
• Stay up to date on the latest trends and developments in data science and technology and identify implementation opportunities to support innovation at Kohl’s
• Design and support deployment of machine learning models to power personalized experiences across digital channels
• Build and optimize recommendation and ranking systems balancing relevance, discovery, and business objectives
• Develop multi-stage ranking approaches, including candidate generation and re-ranking
• Address cold-start and long-tail challenges in large product catalogs
• Partner with engineering to support real-time personalization and scalable deployment
• Additional tasks may be assigned

Staff AI Full-Stack Engineer

Senior Data Scientist