At Artisan, we're creating AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of point solutions. We're starting with outbound sales and our AI BDR, Ava. Our platform contains every tool needed for outbound sales - B2B data, AI email sequences, deliverability optimization tools and so much more.
We're growing very rapidly and recently raised a $25M Series A round from top investors. We are looking for superstars to join us on our rocketship growth as we relentlessly work towards building a multi-billion dollar company.
About the RoleAva is our flagship AI employee—an outbound sales BDR that performs real work, with real results. We’re looking for a deeply technical and product-minded Applied AI Engineer to help build the core intelligence behind Ava: reasoning loops, action planning, tool use, memory, and end-to-end autonomy.
You’ll be at the heart of building human-grade autonomous software agents. This is a hands-on, experimental, highly collaborative role where shipping matters.
You’ll be building not just tools, but behaviors—real agents that replace full-time employees. You’ll help create not just features, but emergent intelligence. Ava is already changing how companies sell. You’ll define how far we can push her next.
What You'll DoBuild and maintain agentic infrastructure: memory systems, planning modules, tool usage, and task decomposition logic.
Develop robust integrations with third-party systems that Ava can reason about and act on (CRMs, email platforms, databases, etc).
Design reinforcement loops, hallucination detection, and behavior tuning systems for long-term reliability.
Work closely with product and design teams to prototype and productionize intelligent behaviors that feel seamless to users.
Own model evaluation pipelines and instrumentation for user feedback and continuous improvement.
Implement smart fallback systems to gracefully handle agent uncertainty or failure.
3–5+ years of experience in ML/AI engineering, ideally in applied LLM or agentic system contexts.
Experience building end-to-end applications using modern LLM tooling (LangChain, LangGraph, or custom frameworks).
Deep understanding of reasoning, prompt orchestration, and memory mechanisms.
Strong software engineering skills—able to write clean, maintainable Python and backend code.
Experience integrating AI models into production environments with real users.
Build the future of work by pioneering a new AI-native product category.
Collaborate with a mission-driven, ambitious, and high-caliber team.
Competitive salary, generous equity, and full benefits.
Regular company off-sites and team events.
Fast-moving culture where you'll ship meaningful work every week.
