Senior AI Software Engineer Jobs in Atlanta, GA

Position Purpose:

The Sr. Software Engineer – AI Engineering builds and delivers generative AI agent experiences for Home Depot customers. The role also supports the React front-end experiences customers use to interact with those agents. Most of the team’s work focuses on agentic production development within Google Cloud, using an AI-first approach. Engineers leverage agentic coding tools such as Claude Code to deliver software end to end, with ownership of planning, testing, and production outcomes. This role will also help evolve the team’s existing AI-first development approach by identifying gaps, researching new tools and methodologies, and bringing new learnings back to the team. The Sr. Software Engineer will join a remote team of skilled engineers and partner closely with Product, UX, and Principal Engineers to build, deploy, and support production applications. The role shares ownership of application security, resilience, performance, and production monitoring.

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

Direct Manager/Direct Reports:

• This position typically reports to Software Engineer Manager or Sr. Manager
• This position 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:

• 2-4 years of relevant work experience
• Proficiency with Claude Code or a comparable agentic coding tool, delivering tested, production-ready code autonomously across large, multi-file and multi-repo changes.
• Holding AI-written code to the same standard as hand-written code through unit, functional and performance testing in CI/CD, code review and root cause analysis.
• A track record of improving AI-first development practices with better tooling, shared instructions, automation or review steps.
• Eagerness to learn new tools, models and techniques hands-on and bring them back to the team through demos, write-ups or working examples.
• Ability to learn large systems quickly, diagram how they connect and explain the impact of a change across services and teams.
• Production monitoring, logging, tracing and analytics, including setting up dashboards and alerts and measuring customer impact.
• Customer-facing front-end development with React, JavaScript or TypeScript, HTML and CSS, including improving web performance and Core Web Vitals.
• Leading epics with product, UX and principal engineers, working through tradeoffs and turning them into small, testable stories.
• Production Python and LLM agents built with Google ADK or LangChain on Gemini or similar models, including tool calling and retrieval (RAG) grounding.
• Prompt design and evaluation sets for agent behavior that run in CI.
• Large distributed systems, especially multi-agent systems and how they're orchestrated.
• Running AI in production on Google Cloud and Vertex AI Agent Engine, including reducing latency and token cost and adding guardrails such as prompt-injection defenses and content moderation.

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