At Artisan, we're on a mission to create the most advanced human-like digital workers, called Artisans, and the software operating system for startups across verticals. We're starting with sales through our Artisan Sales platform and Ava, The Sales Rep Artisan.

Our first Artisan, Ava, is a BDR who automates the entire outbound sales process and can be set up with a 10-minute conversation. Ava creates the user's ICP, prospects with her database of over 270M contacts, does lead research, crafts & sends highly bespoke email sequences, and books meetings into sales reps' calendars.

We recently launched Artisan Labs, our research lab where we're pioneering the foundational technologies required to create human-like digital workers.

This is the next Industrial Revolution.

At Artisan, we've raised $XXm to create AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of SaaS tools in every vertical. We're starting with outbound sales and our AI BDR, Ava. We'll be launching 3 new Artisans this year, and whoever fills this role will play a pivotal role in leading the shift from traditional SaaS to autonomous agents.

Key Responsibilities

• Work with the team to discover new ways to build agentic products so we can create truly autonomous AI employees.
• Use prompt engineering and fine-tuning with foundational LLMs to meet product requirements.
• Design and develop AI-driven features, including chat-based interfaces that interact with our products on behalf of users.
• Build systems for integrating AI models with third-party tools, enabling diverse real-world applications.
• Stay updated with advancements in LLMs and machine learning to keep Artisan at the forefront of AI & agentic innovation.

Qualifications

• 2+ years of professional experience in ML/AI engineering, with expertise in LLM fine-tuning and deployment.
• Experience with tools like Langsmith and Langchain for managing and optimizing LLM pipelines.
• Strong programming skills, particularly in Python, and experience with MLOps tools like MLflow.
• Proficiency with cloud platforms (AWS or Azure) and containerization technologies (e.g., Docker).
• Solid understanding of distributed systems and software engineering best practices.
• Excellent communication skills and the ability to convey complex technical concepts to diverse audiences.

Benefits

• Full-coverage medical, dental, and vision insurance.
• Equity options.
• Company off-sites and events.
• Food & drinks provided in-office.