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Senior Software Engineer – AI Engineering
The Home Depot. Build and ship generative AI agent experiences for Home Depot customers.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying generative AI applications, particularly with Python and large language models. Proficient in collaborating with cross-functional teams to enhance AI systems and ensure production readiness.
Highest-signal resume keywords
Python Production ServicesGenerative AI DevelopmentGoogle Cloud Vertex AILarge Distributed SystemsAgile Collaboration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
React Front End DevelopmentFunctional TestingDestructive TestingPrompt Design and VersioningMulti-Agent System Orchestration
Soft Skills
Team CollaborationMentorshipCommunication
Tools & Technologies
Google Agent Development KitLangChainProduction Monitoring Tools
Industry Keywords
AI SystemsProduction SoftwareUser StoriesSecurityPerformance Monitoring
Tech Stack
Tools & technologiesCloudDistributed SystemsPythonReact
About the role
Key responsibilities & impact- Build and ship generative AI agent experiences for Home Depot customers.
- Develop React front ends customers use to reach AI agents.
- Develop, test, deploy, and maintain production software.
- Develop functional and destructive test suites to enable rapid code deployment.
- Improve the team's AI-first development system by identifying gaps, researching better approaches, and sharing findings.
- Collaborate with product, UX, principal engineers, and agile team members.
- Work with the Product Team to ensure user stories are valuable, developer-ready, understandable, and testable.
- Build, deploy, and support production applications.
- Share ownership of security, resilience, performance, and production monitoring.
- Help grow junior engineers through guidance on modern software development frameworks and technical discussions.
Requirements
What you’ll need- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
- 3 years of minimum work experience.
- Bachelor's degree program or equivalent degree in a field of study related to the job.
- Experience writing production Python services.
- Experience building LLM agents with Google Agent Development Kit (ADK) or LangChain, including tool calling.
- Experience designing, testing and versioning prompts, and measuring whether a prompt change made the output better or worse.
- Experience with large distributed systems, especially multi-agent systems and how they're orchestrated.
- Experience running AI systems in production on Google Cloud, including Vertex AI Agent Engine or a similar agent runtime.
- Experience tracking latency, cost, output quality and safety, and securing services with authentication and authorization.