Artisan AI

Applied AI

San Francisco · Exec

Sponsorship not specifiedDetected 364 days ago

ReactLLMsRAGOutbound SalesResearchCommunication

About the role

You'll be the third Applied AI engineer on the Artisan team!
We're pushing the boundaries of what's possible with AI employees, and you'll play a key role in our product direction.
Evaluating LLMs, choosing the right models for the right tasks, balancing cost, latency, reliability, and accuracy

We're building AI employees.
She researches leads, writes and sends emails in a customer's voice, runs multi-step outbound sequences, manages her own deliverability infrastructure, self-optimizes over time, and handles objections and meeting booking.
Right now we're building Ava 2.0, a step change in what an AI employee can do.
High standards, every detail. Quality matters in everything we ship, from product and code to copy and design

2+ years shipping real AI products in production - either at an app-layer AI startup or on a foundation model team
Deep hands-on experience with agents, function calling, RAG pipelines, or self-healing workflows (LangChain, ReAct, Dust, OpenAI Tools, etc)
Strong background in prompt design, chaining, and retrieval systems (experience with OpenAI's RAG + web search tools or equivalents is a major plus)
Experience owning latency, reliability, and cost of LLM-powered systems in production
Ability to think like a researcher but ship like an engineer, exploring novel techniques and getting them into users' hands quickly
Excellent communication skills
Introductory chat with our recruiter
15-minute interview with Jaspar, our CEO

Driving infrastructure choices for routing, orchestration, eval loops, and persistent memory across agents

This listing is sourced directly from Artisan AI's careers page and normalized into a canonical job model.