Senior AI Engineer II: GenAI Platforms & MLOps

iHerb, LLC

United States

Remote

USD 187,000 - 235,000

Full time

14 days+
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Job summary

iHerb, LLC is seeking a Sr. Software Engineer II - AI to lead the development of GenAI-powered product experiences and the shared AI platform that powers them. You will own end-to-end AI features from RAG pipelines to agentic workflow automation, integrating with marketing platforms and BI tools.

The role emphasizes production-grade LLM applications, model evals, and a strong SDLC discipline, with on-call readiness and observability.

Qualifications

  • 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 across layers of the stack.
  • Production ownership of features end-to-end from spec through deployment.

Responsibilities

  • 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.
  • Evaluate model and feature quality using structured eval frameworks; iterate on prompts, retrieval strategies, and model selection.

Skills

AI-driven SDLC
Full-stack awareness
Production ownership
Code quality
Python
LLM specialization
Prompt engineering
Vector databases
LLM evaluation
LangChain
LlamaIndex

Education

Bachelor’s Degree in Computer Science or related field

Tools

LangChain
LlamaIndex

Job description

iHerb, LLC is seeking a Sr. Software Engineer II - AI to lead the development of GenAI-powered product experiences and the shared AI platform that powers them. You will own end-to-end AI features from RAG pipelines to agentic workflow automation, integrating with marketing platforms and BI tools.

The role emphasizes production-grade LLM applications, model evals, and a strong SDLC discipline, with on-call readiness and observability.

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