Senior Generative AI Engineer: Build & Scale AI Apps

The Home Depot; Atlanta (GA); Remote; USD 140,000 - 210,000; Full time

Job summary

The Home Depot is seeking a Senior Generative AI Engineer to design, build, and scale AI-powered applications leveraging LLMs and other generative models. You will collaborate with product, software, and data teams to deliver secure, reliable AI features and implement RAG pipelines, model integration, and monitoring in production.

You will work with domain data, improve prompts, and help create documentation for AI solutions while aligning with responsible AI practices and security requirements.

Qualifications

• Eighteen years or older and eligible to work in the U.S.
• 2+ years of relevant work experience in ML/AI roles per the ad.
• Strong Python and modern AI development frameworks, including LLMs.
• Experience with prompt engineering, evaluation, and optimization.
• Experience integrating AI models via APIs (Google/OpenAI/Anthropic).
• Familiarity with GenAI frameworks and RAG pipelines.
• Knowledge of vector databases and Vertex AI Search.

Responsibilities

• Collaborate cross-functionally to design and deliver scalable ML solutions.
• Develop and maintain AI-powered applications using LLMs and generative models.
• Build and optimize RAG pipelines, prompts, and AI workflows.
• Monitor production AI services and ensure reliability, security, and compliance.

Skills

Python

LLMs

Prompt engineering

APIs integration

CI/CD

GPU acceleration

SQL

Node.js / React

Data engineering

Monitoring & observability

Education

High school diploma or GED

No additional education

Tools

Google Cloud Platform

Vertex AI

BigQuery

Vector databases

REST APIs

CI/CD tooling

Containerization (Docker)

Monitoring tools

Jupyter / Python notebooks

Data pipelines

Job description

The Home Depot is seeking a Senior Generative AI Engineer to design, build, and scale AI-powered applications leveraging LLMs and other generative models. You will collaborate with product, software, and data teams to deliver secure, reliable AI features and implement RAG pipelines, model integration, and monitoring in production.

You will work with domain data, improve prompts, and help create documentation for AI solutions while aligning with responsible AI practices and security requirements.