About Artisan
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.
About the role
Skills: Python, Machine Learning, Reinforcement learning (RL), Natural Language ProcessingAt Artisan, we're creating AI Employees, called Artisans, and software which is beautiful, 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 are building our sales org from the ground up. We recently raised a $11M seed round from top investors, and are looking for talented engineers to join us on our rocketship growth as we relentlessly work towards building a multi-billion dollar company 🦄
Key Responsibilities:
- Fine-tuning and prompt engineering LLMs for our Artisans, helping us to create the most advanced AI Employees (primarily Google's Gemini, OpenAI's GPT 3.5, GPT 4 & GPT-4o, and Anthropic's Claude).
- Developing systems to allow users to interact with platform features through chat (e.g. our onboarding flow and platform setup is currently done by Ava, our AI BDR).
- Architect LLM systems which integrate with third-party tools for a plethora of Artisan use cases (think email conversations, the user chat interface, etc.)
- Minimize hallucinations and strange tone of voice.
- Reduce latency of our LLM systems.
- Stay up-to-date with the latest LLM technologies so we stay on the bleeding edge of what's possible.
Qualifications:
- Degree in Computer Science, Machine Learning, Data Science, or a related field.
- Industry experience with LLM fine tuning and prompt engineering.
- Excellent written and spoken English.
- Extensive experience in Python and MLOps tools like MLFlow and cloud platforms such as Azure or AWS.
- Expertise in Python back-end development.
Benefits:
- Generous equity.
- Great health + vision + dental.
