Senior AI Engineer

🕒 Agosto 10

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $100.000 - $250.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 26%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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The Home Depot

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1978

🏗️ Construção

📦 Logística

🛒 Varejo

💰 Debt Financing em 2007-07

Construction • Logistics • Retail

A Home Depot é um dos principais varejistas de melhoria do lar, oferecendo uma ampla variedade de materiais de construção, produtos para melhoria do lar, artigos para jardim e relacionados. A empresa opera tanto em lojas físicas quanto em uma plataforma online, fornecendo soluções abrangentes para entusiastas de DIY, empreiteiros profissionais e proprietários de imóveis. A Home Depot está comprometida com a diversidade, equidade e inclusão, proporcionando oportunidades de emprego e benefícios a uma força de trabalho diversificada. Além disso, a empresa dá grande ênfase ao atendimento ao cliente e ao engajamento dos colaboradores para manter sua posição como líder confiável no setor de melhoria de residências.

Descrição

• Design, build, scale, and optimize production-grade Agentic AI systems driving measurable business outcomes across The Home Depot • Develop scalable applications powered by LLMs, SLMs, RAG frameworks, and autonomous agents • Build orchestration layers for multi-agent workflows, tool integration, and planning • Develop infrastructure for reliable, large-scale cloud deployment • Partner with product, engineering, and business teams to prototype solutions and transition AI capabilities from concept to production • Collaborate with UX, engineering, and product management to create secure, reliable, scalable machine learning solutions • Document, review, and ensure quality and change control standards are met • Work with product teams to create developer-ready, understandable, and testable user stories • Write code and scripts to automate infrastructure, monitoring services, test cases, and destructive testing • Configure commercial off-the-shelf solutions to align with business needs • Create dashboards, logging, alerting, and responses to proactively address issues • Participate in communities of practice and learn modern software design, machine learning, and development practices • Answer questions from product and support teams and provide production application support • Monitor production Service Level Objectives, performance, capacity, code, infrastructure, data, message processing, and prediction quality

🎯 Requisitos

• 6+ years of experience in AI, Machine Learning Engineering, or Software Engineering with strong Python development skills and modern software engineering practices • Proven experience building and deploying production-grade AI solutions using LLMs, SLMs, RAG frameworks, copilots, agents, and multi-agent systems • Deep understanding of transformers, embeddings, deep learning, prompt engineering, agentic reasoning patterns, and vector databases • Experience developing orchestration layers for task execution, routing, planning, and workflows • Experience integrating AI solutions with enterprise platforms, APIs, and business systems • Expertise in cloud-native architectures, Docker, Kubernetes/GKE, Terraform, AI pipeline design, MLOps/LLMOps, CI/CD, automated testing, model versioning and registries, governance, compliance, and security • Experience with progressive rollout strategies, automated rollback, observability, logging, metrics, distributed tracing, and automated alerting • Ability to optimize AI systems for performance, reliability, scalability, latency, cost efficiency, and token use, and debug operational failure modes • Excellent cross-functional communication and collaboration skills • Must be eighteen years of age or older • Must be legally permitted to work in the United States • Preferred: Vertex AI, Gemini, Google ADK, LangGraph, CrewAI, AutoGen, or similar tools and frameworks • Preferred: GPU/accelerator provisioning and autoscaling, model registries, feature stores, and vector database operations at production scale • Preferred: Node.js/React/REST, API design, Linux, Git, and modern deployment toolchain • Preferred: Background in retail, supply chain, manufacturing, eCommerce, logistics, or finance • Preferred: Responsible AI, evaluation frameworks, reliability engineering, and AI governance guardrails • Preferred: Proven track record of driving innovation, measurable business impact, mentoring engineering teams, and establishing AI engineering standards • Minimum education: high school diploma and/or GED • Typically requires overnight travel 5% to 20% of the time

🏖️ Benefícios

• Health care benefits • 401K • ESPP • Paid time off • Success sharing bonus