About Artisan
At Artisan, we’re building real AI employees - not copilots, not assistants, but autonomous teammates.
Our first, Ava, is an AI BDR. She finds and researches leads, writes emails in customers’ tone of voice, runs outbound sequences, self-optimizes, and manages email deliverability infrastructure. She learns, adapts, and improves over time - just like a human would.
We went through Y Combinator (W24) and have raised $35M+ from top investors. We’re at $7M+ ARR, with hundreds of customers including CookUnity, Quora, and SumUp.
We’re currently working on Ava 2.0, pushing the boundaries of what an AI employee can do. And we're hiring.
Role Overview
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
- Architecting prompt frameworks and agent behaviors for Ava’s core workflows: email generation, chat interaction, meeting scheduling, prospect research, and more
- Optimizing multi-step agent chains using retrieval-augmented generation (RAG), web search integrations, and tool use (e.g. CRMs, calendars, APIs)
- Driving infrastructure choices for routing, orchestration, eval loops, and persistent memory across agents
- Building safety, trust, and controls into agents, partnering with product to design user guardrails, fail-safes, and success metrics
- Exploring and deploying emerging modalities from voice AI and talking head technology to multi-modal reasoning - and figuring out how they make Ava more human-like
Location:
San Francisco, New York, or Remote USA
Team:
AI
Reports to:
CPTO, Sam Stallings
Who You Are
- 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
Interview process
- Introductory chat with our recruiter
- 15-minute interview with Jaspar, our CEO
- Take home assignment
- 30-minute take home assignment review with Sam, our CPTO
- 30-minute culture and values interview with Jaspar, our CEO
Our culture and values
- Founder mindset. Everyone acts like an owner: take initiative, think big, challenge ideas, and push for 10× outcomes
- Obsessed with impact. We apply the 80/20 rule, kill sunk costs quickly, and focus on what actually moves the needle
- Customer-first, always. Every decision is made with the customer experience at the center
- High standards, every detail. Quality matters in everything we ship, from product and code to copy and design
- Clear, direct communication. We value candor, fast responses, and feedback
- Winning team energy. We bring positive vibes, low ego, zero drama, and genuinely enjoy building together
