Staff AI Software Engineer, Supply Chain (Remote)

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Position Purpose:

As an AI Staff Software Engineer in Supply Chain, you will play a critical role in designing, building, and scaling AI-driven, agentic applications that power both warehouse operations and Warehouse Execution Systems.  In this role, you will work on intelligent chatbots, agentic workflows, and automation platforms, leveraging technologies such as Retrieval-Augmented Generation (RAG), vector databases, and modern agent frameworks. You will design and deploy scalable, production-grade systems using Python/Java, with a strong focus on reliability, performance, and security.

As a Staff Software Engineer, you will contribute to reusable foundational code, architectural diagrams, guide decisions around product and tool selection, and other product documentation. You’ll serve as a core member of a balanced team, mentoring junior engineers and helping them expand both their technical expertise and leadership skills.

Key Responsibilities:

• 50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes a broad view when approaching issues; using a global lens; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances
• 10% Learns and Grows - Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiments when tackling new problems
• 20% Plans and Aligns - Creates new and better ways for the organization to be successful; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Works the Product Team to ensure user stories are developer ready, easy to understand and testable; Collaborates with other team members in agile processes; Relates openly and comfortably with diverse groups of people; Adapts approach and demeanor in real time to match the shifting demands of different situations
• 20% Supports and Enables - Fields questions from product and engineering teams; Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions; Notes gaps on the team and provides suggestions for changes to make the team more productive

Direct Manager/Direct Reports:

• This position typically reports to Software Engineer Manager or Sr. Manager
• This position typically has 0 Direct Reports

Travel Requirements:

• No travel required.

Physical Requirements:

• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

Preferred Qualifications:

• 5-8 years of relevant work experience
• Has a deep understanding of warehousing and logistics, and understands how their software impacts the performance and processes of operation teams
• Strong understanding of LLMs, multimodal models, and transformer architectures
• Experience with fine-tuning/adapting models (LoRA, RAG, prompt optimization, RLHF basics)
• Ability to design and implement agentic architectures (single- and multi-agent systems)
• Hands-on experience with agent frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, Swarm)
• Skill in defining agent roles, capabilities, tools, and memory patterns
• Experience building autonomous workflows: task decomposition, planning, and self-correction loops
• Strong prompt engineering skills (system prompts, dynamic context building, tool-calling protocols)
• Knowledge of grounding strategies to reduce hallucinations and enforce business rules
• Proficiency in Python and common AI/ML libraries (PyTorch, TensorFlow, OpenAI/Anthropic SDKs)
• Experience building and consuming APIs and microservices for agent tool use
• Familiarity with event-driven and asynchronous programming patterns
• Experience with RAG pipelines (embeddings, vector stores, retrieval optimization)
• Knowledge of data engineering fundamentals (ETL, data quality, schema design for knowledge bases)
• Deep experience with cloud platforms (Azure, AWS, GCP) for AI workloads, including: Model hosting and inference optimization. Serverless and container-based architectures. Cost monitoring and scaling strategies
• Proficiency in cloud-native deployment architectures (Kubernetes, service meshes, managed inference endpoints)
• Experience deploying agentic systems within GitHub Enterprise environments, including: CI/CD pipelines using GitHub Actions
• Ability to instrument and monitor agent behavior (telemetry, tracing, logs, cost, and latency tracking)
• Experience defining and running evaluations for agents (task success, reliability, safety metrics)
• Understanding of security, privacy, and responsible AI principles (PII handling, access controls, auditability)
• Strong debugging and troubleshooting skills for complex, tool-using agent workflows
• Ability to collaborate with product, data, and engineering teams to translate business needs into agentic solutions
• Clear communication skills for documenting agent designs, assumptions, limitations, and guardrails

Minimum Education:

• The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:

• No additional education

Minimum Years of Work Experience:

• 3

Preferred Years of Work Experience:

• No additional years of experience

Minimum Leadership Experience:

• None

Preferred Leadership Experience:

• None

Certifications:

• None

Competencies:

• Global Perspective
• Manages Ambiguity
• Nimble Learning
• Self-Development
• Collaborates
• Cultivates Innovation
• Situational Adaptability
• Communicates Effectively
• Drives Results
• Interpersonal Savvy

Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus.  For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.

For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents: