Staff AI Full-Stack Engineer (Remote)

About the role

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

What Skills You Have

Required

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

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The evidence behind this listing

Workplace

Remote Employer field

Seniority

staff+ From the job title

Employment type

Not established

Location as listed

N56 W17000 Ridgewood Dr, Menomonee Falls, WI 53051

Pay and work authorization

Stated pay

Not stated

Visa sponsorship

Not stated

Security clearance

Not established

Citizenship

Not established