Senior Software Engineer II – AI

🕒 Julho 10

🏄 California – Remoto

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💵 $187.000 - $235.000 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 6%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of iHerb

iHerb

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

• The Sr. Software Engineer II - AI will lead the build of GenAI-powered product experiences and the shared AI platform infrastructure that powers them. • This includes RAG pipelines over the iHerb catalog and customer reviews, LLM-driven personalization, a conversational Wellness Agent, agentic workflow systems, and the evals and MLOps layer that makes AI features production-grade and repeatable. • Design, build, and operate production AI features: RAG pipelines, LLM-driven recommendations, conversational agents, or agentic workflow automation. • Build the shared AI platform layer: retrieval infrastructure, eval frameworks, model monitoring, guardrails, and observability. • Write LLM applications and integrations with marketing platforms, BI tools, or customer-facing product surfaces.

🎯 Requisitos

• Generally requires a minimum of 10+ years of software engineering experience. • AI-driven SDLC : hands-on experience shipping production code with AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor. • Full-stack awareness: comfortable contributing across layers of the stack when needed. • Production ownership: experience owning features end-to-end from spec through deployment, observability, and on-call. • Code quality fundamentals: strong grasp of software design principles, automated testing, code review, and CI/CD. • Fully autonomous; drives technical decisions within the team; mentors junior engineers. • Python proficiency; comfortable building and operating production LLM applications. • Hands-on experience with at least one specialization: RAG and retrieval systems, LLM evaluation, agentic frameworks (LangChain, LlamaIndex, or similar), or LLM-based workflow automation. • Understanding of prompt engineering, context window management, and LLM output quality tradeoffs. • Familiarity with vector databases, embedding models, or semantic search.

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