Artisan
AI

Applied AI Engineer

Artisan ·

Actively hiring Posted about 1 month ago

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
  • Designing agent workflows that make strategic decisions, self-optimize and adapt in real time, and deliver measurable outcomes autonomously

*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

  • 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 starts with the customer experience.
  • 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 real feedback.
  • Winning team energy. Positive vibes, low ego, zero drama. We genuinely enjoy building together.

Tags & focus areas

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Ai Ai Engineer