Staff AI Full-Stack Engineer (Remote)

About The Role As Staff Software Engineer, you will be part of a dynamic, cross-functional team dedicated to enhancing the customer experience. You will collaborate closely with Design, Product Management, and Engineering experts to tackle real-world challenges and deliver innovative solutions that elevate our retail offerings. What You’ll Do • Lead the development of high-quality applications that are robust, observable and measurable. Using extreme programming (XP) practices and a user-centric approach • Navigate the entire application lifecycle in collaboration with designers, product managers, and other engineers on the product team • Leverage critical thinking, lead lean experimentation and influence decisions backed by data and industry best practices to implement desired business outcomes • Establish and lead product engineering and software standards and continuously elevate existing standards using the new ones in the industry • Mentor junior team members in pairing sessions, one-on-ones and ad-hoc as the need arises, and create teachable moments • Contribute to cultural transformation by modeling partnership, collaboration, and technical initiatives and giving and receiving feedback regularly both within the team and across the organization • Champion XP practice and knows when to customize it for effectiveness and also engages in conversations around practice, processes and community • Additional tasks may be assigned Addendum STAFF AI SOFTWARE ENGINEER • Design and build modular, headless AI backend services, advanced RAG architectures, and multi-agent orchestration workflows (e.g., LangChain, AutoGen, CrewAI). • Construct enterprise-grade Model Context Protocol (MCP) gateways, Application Programming Interface (API) integration/mediation layers, rate limiters, and security proxies that allow autonomous agents to safely read and write to enterprise systems. • Develop lightweight, streaming simulation frontends ("Dry-Run" interfaces) solely to validate agent behaviors, prompt strategies, and human-in-the-loop workflows during pilot discovery. • Collaborate with Applied/Data Science and Machine Learning specialists to fine-tune Small Language Models (SLMs), execute weight quantization (AWQ/GPTQ), and optimize GPU memory utilization for high-throughput inference. • Instrument distributed tracing, token utilization logging, and inference latency telemetry across the AI stack. • Package reusable code libraries, containerized microservices, and integration SDKs for domain delivery and implementation teams. • Architect resilient Compound AI Systems that orchestrate dynamic routing between deterministic APIs, specialized SLMs, and frontier LLMs. Requirements • 6+ years of demonstrated experience building and scaling production applications using foundation models, RAG, or agentic workflows • 6+ years of experience integrating AI applications securely with enterprise data, APIs, and identity/access controls • 4+ years of experience evaluating and optimizing AI application quality, latency, reliability, and cost Required What Skills You Have • 6+ years of experience in software development • Proven ability to manage multiple competing priorities • Advanced knowledge of application design patterns, event-driven architecture, database schemas, and testing strategies • Experience with large-scale application troubleshooting and performance tuning • Demonstrated experience working with major cloud platforms (GCP, AWS, or Azure) • Knowledge and experience with continuous integration, continuous deployment, and test-driven development Preferred • Bachelor's Degree or equivalent in MIS, Computer Science or related field • Familiarity and experie