Senior AI Engineer (Remote)
Core
Designing, building, scaling, and optimizing production-grade Agentic AI systems (LLMs, SLMs, RAG, autonomous agents) to drive business outcomes at The Home Depot.
Role type
Senior IC machine-learning engineer (agentic AI systems)
Builds
Scalable applications powered by LLMs, SLMs, RAG frameworks, and autonomous agents; core orchestration layers for multi-agent workflows and tool integration.
Domain
Retail / eCommerce / Applied AI
Deliverable
production ML models
Required skills
Python, LLMs, SLMs, RAG frameworks, multi-agent systems, transformers, embeddings, deep learning, prompt engineering, vector databases, orchestration layers, cloud-native architectures, containerization, Kubernetes, infrastructure as code, MLOps/LLMOps, CI/CD, observability, performance optimization, debugging
Preferred skills
Vertex AI, Gemini, Google ADK, LangGraph, CrewAI, AutoGen, Terraform, GPU provisioning, feature stores, Node.js, React, REST, Responsible AI, evaluation frameworks, mentoring
Technologies
Vertex AI, Gemini, Google ADK, LangGraph, CrewAI, AutoGen, Terraform, Kubernetes, GKE, Docker, LangChain, LlamaIndex, Hugging Face, Databricks, Snowflake, AWS, Azure, GCP
Responsibilities
Collaborate with product teams to create secure, reliable, scalable machine learning solutions; Develop orchestration layers for multi-agent workflows and tool integration; Implement MLOps/LLMOps best practices including CI/CD, automated testing, and model versioning; Build automated CI/CD pipelines with progressive rollout strategies and end-to-end observability; Optimize complex AI systems for performance, reliability, scalability, and cost efficiency; Configure commercial off-the-shelf solutions and create monitoring dashboards and alerting systems.
Seniority
Senior, hands-on IC