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Artisan

Applied AI

Builds autonomous AI agents for workflows like email generation, prospect research, and meeting scheduling. Requires 2+ years shipping AI products with expertise in LLMs, RAG, agents, and production optimization.

San Francisco, CANew York, NYML EngineeringOnsite2+ YOE
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About the role

Responsibilities

  • Evaluating LLMs, choosing models balancing cost, latency, reliability, and accuracy.
  • Architecting prompt frameworks and agent behaviors for core workflows: email generation, chat interaction, meeting scheduling, prospect research.
  • Optimizing multi-step agent chains using RAG, web search integrations, tool use (CRMs, calendars, APIs).
  • Driving infrastructure for routing, orchestration, eval loops, persistent memory across agents.
  • Building safety, trust, controls, partnering with product on guardrails, fail-safes, success metrics.
  • Exploring emerging modalities: voice AI, talking head technology, multi-modal reasoning.
  • Designing agent workflows for strategic decisions, self-optimization, real-time adaptation, autonomous outcomes.

Requirements

  • 2+ years shipping real AI products in production (app-layer AI startup or foundation model team).
  • Deep hands-on experience with agents, function calling, RAG pipelines, self-healing workflows (LangChain, ReAct, Dust, OpenAI Tools, etc.).
  • Strong background in prompt design, chaining, retrieval systems (OpenAI RAG + web search tools a plus).
  • Experience owning latency, reliability, cost of LLM-powered systems in production.
  • Ability to think like a researcher but ship like an engineer.
  • Excellent communication skills.

Skills

LLMsRAGLangChainReactOpenai ToolsPrompt EngineeringFunction CallingAgent WorkflowsWeb SearchCrmsAPIs

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