AI/ML Engineer
Description For AI/ML Engineer
Artisan is an innovative company creating AI Employees (Artisans) and comprehensive software solutions for outbound sales. They're developing AI BDR Ava and a platform that includes B2B data, AI email sequences, and deliverability optimization tools. The company is experiencing rapid growth, recently securing $15M in funding from top investors.
As an AI/ML Engineer, you'll be at the forefront of developing autonomous AI employees and agentic products. Your role will involve working with foundational LLMs, implementing prompt engineering, and creating chat-based interfaces. You'll be responsible for building systems that integrate AI models with third-party tools and staying current with the latest developments in machine learning.
The ideal candidate should have at least 2 years of experience in ML/AI engineering, with expertise in LLM fine-tuning and deployment. Strong Python programming skills and experience with MLOps tools are essential. You should be proficient with cloud platforms and containerization technologies, with a solid understanding of distributed systems.
The company offers competitive benefits including comprehensive medical coverage and equity options. This remote position offers the opportunity to join a rapidly growing company with ambitious goals of becoming a multi-billion dollar enterprise. If you're passionate about AI innovation and want to be part of building the future of autonomous AI employees, this role presents an exciting opportunity to make a significant impact.
Responsibilities For AI/ML Engineer
- Work with the team to discover new ways to build agentic products for 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
- Build systems for integrating AI models with third-party tools
- Stay updated with advancements in LLMs and machine learning
Requirements For AI/ML Engineer
- 2+ years of professional experience in ML/AI engineering
- Experience with tools like Langsmith and Langchain for managing LLM pipelines
- Strong programming skills in Python and experience with MLOps tools like MLflow
- Proficiency with cloud platforms (AWS or Azure) and containerization technologies (Docker)
- Solid understanding of distributed systems and software engineering best practices
- Excellent communication skills
Benefits For AI/ML Engineer
- Full-coverage medical, dental, and vision insurance
- Equity options
- Company off-sites and events
- Food & drinks provided in-office
