Principal Engineer – AI Platform

🕒 Julho 10

🏄 California – Remoto

🏄 California – Remote

💵 $204.000 - $260.000 / ano

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

👻 Score fantasma 6%

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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iHerb

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🛍️ Comércio Eletrônico

🛒 Varejo

🧘 Bem-estar

eCommerce • Retail • Wellness

A iHerb é uma varejista online fundada em 1996, que oferece uma seleção cuidadosa de produtos de saúde e bem-estar para consumidores em todo o mundo. A empresa foca em vitaminas, suplementos e remédios naturais, nutrição esportiva, alimentos naturais e secos, além de produtos ecologicamente corretos, com a missão de tornar a saúde e o bem-estar acessíveis, acessíveis e convenientes. A iHerb opera como um negócio de comércio eletrônico com foco no varejo e enfatiza a experiência do cliente e uma cultura empresarial orientada por valores.

Descrição

• Define and own the AI platform architecture: retrieval infrastructure, model lifecycle, evals framework, guardrails, and GenAI product feature design. • Lead the build of the shared AI platform layer consumed by all AI product features and reusable by internal business teams. • Hands-on contributor: build production AI systems, write proofs of concept, and validate architecture through working software. • Set and enforce technical standards for the AI Platform team; drive architecture reviews and model quality reviews. • Coordinate with the Personalization team to define clear boundaries between the GenAI product layer and existing ML personalization infrastructure. • Contribute AI platform-specific patterns and lessons into iHerb's shared AI-driven SDLC golden path. • Drive the hardest cross-cutting technical decisions across multiple teams and shared platform services. • Establish and evolve iHerb's AI-driven SDLC golden path: shared standards, Claude Code skills, guardrails, and automation patterns. • Lead complex multi-team technical efforts by coordinating architecture reviews, aligning peer Principals and EMs, and resolving competing approaches. • Mentor and raise the technical bar across the engineering organization through code review, architecture review, and direct coaching of senior engineers. • Represent engineering in cross-functional conversations with product, data science, security, and infrastructure. • Feed architectural decisions into the shared knowledge base so institutional knowledge compounds across the organization.

🎯 Requisitos

• 10+ years of software engineering experience. • AI-driven SDLC: demonstrated use of AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor to ship production systems. • Experience designing and evolving large-scale distributed systems: APIs, data pipelines, event-driven architectures, or high-traffic platforms. • Track record of driving architectural standards, technical roadmaps, or platform initiatives that span multiple teams or organizations. • Deeply held opinions on code quality, observability, CI/CD, test automation, and maintaining velocity without accumulating hidden debt. • Able to write clear architecture documents, present to technical and non-technical audiences, and build consensus without formal authority. • Experience working in distributed teams across the US, China, and Latin America. • Production experience designing and operating AI platform systems: RAG pipelines, vector search, embedding infrastructure, or retrieval-augmented applications at scale. • Hands-on experience with LLM evaluation: building eval frameworks, defining quality metrics, and iterating on model and prompt quality using data. • MLOps experience: model deployment, monitoring, lifecycle management, and cost governance in a production environment. • Experience building and operating agentic systems using frameworks such as LangChain, LlamaIndex, or equivalent. • GenAI in production is required; prototype or research-only experience is not sufficient at this level. • High degree of accuracy and attention to detail. • Excellent organization skills and ability to multi-task.