Senior Software Engineer - AI Engineering (Remote)

Homedepot; United States; Remote; USD 80,000 - 180,000; Full time

Benefits offered by this job

Remote role

No travel

Job summary

Home Depot is seeking an experienced software engineer to build and operate customer-facing generative AI agent experiences and web interfaces. You will deliver production Python services, test suites, and React front ends on cloud infrastructure with a focus on security, performance, and reliability.

You will collaborate with product, design, and engineering teams to craft testable user stories, monitor systems, and contribute to AI-first development practices across the stack.

Qualifications

• At least three years of relevant work experience and a related bachelor’s degree or equivalent knowledge.
• Experience developing production Python services.
• Experience building tool-using language model agents with an agent framework such as Google Agent Development Kit or LangChain.
• Experience designing, testing, and versioning prompts, and evaluating whether changes improve results.
• Understanding of distributed systems, especially orchestration of multiple agents.
• Experience operating AI systems on Google Cloud or a comparable agent runtime, including monitoring latency, cost, output quality, and safety, and securing services with authentication and authorization.
• Must be legally permitted to work in the United States; travel is not required.

Responsibilities

• Develop, test, deploy, and maintain production applications, including agent experiences and React front ends.
• Build functional and other test suites that support safe, rapid releases.
• Collaborate with product, design, and engineering partners to shape clear, testable user stories and deliver software aligned with user needs.
• Monitor and support production systems, contributing to security, resilience, performance, and service quality.
• Explore improvements to AI-first development workflows and share effective approaches with the team.
• Participate in technical discussions and help guide less experienced engineers.

Skills

Python

Agent frameworks

Prompt engineering

Distributed systems

Google Cloud

Education

Bachelor’s degree or equivalent

Tools

Google Agent Development Kit

LangChain

Job description

Role overview

Build and operate customer-facing generative AI agent experiences and the web interfaces used to access them. The work spans production software delivery on cloud infrastructure, from planning and testing through deployment and support, with shared responsibility for security, reliability, performance, and monitoring. The team also improves its AI-assisted engineering practices through experimentation and knowledge sharing.

Responsibilities

• Develop, test, deploy, and maintain production applications, including agent experiences and React front ends.
• Build functional and other test suites that support safe, rapid releases.
• Collaborate with product, design, and engineering partners to shape clear, testable user stories and deliver software aligned with user needs.
• Monitor and support production systems, contributing to security, resilience, performance, and service quality.
• Explore improvements to AI-first development workflows and share effective approaches with the team.
• Participate in technical discussions and help guide less experienced engineers.

Requirements

• At least three years of relevant work experience and a related bachelor’s degree or equivalent knowledge.
• Experience developing production Python services.
• Experience building tool-using language model agents with an agent framework such as Google Agent Development Kit or LangChain.
• Experience designing, testing, and versioning prompts, and evaluating whether changes improve results.
• Understanding of distributed systems, especially orchestration of multiple agents.
• Experience operating AI systems on Google Cloud or a comparable agent runtime, including monitoring latency, cost, output quality, and safety, and securing services with authentication and authorization.
• Must be legally permitted to work in the United States; travel is not required.

Benefits and work setup

• Remote role with no required travel.
• The source lists a location-dependent pay range of $80,000–$180,000 for specified U.S. locations.