AI/ML Engineer
Description For AI/ML Engineer
Artisan is revolutionizing the AI industry by creating AI Employees, known as Artisans, with a focus on outbound sales solutions. Their flagship product features an AI BDR named Ava, complemented by a comprehensive platform that includes B2B data, AI email sequences, and deliverability optimization tools. The company is experiencing remarkable growth, securing millions in new ARR monthly, and has recently raised $15M from prominent investors.
As an AI/ML Engineer at Artisan, you'll be at the forefront of developing autonomous AI employees and agentic products. Your role will involve sophisticated prompt engineering, LLM fine-tuning, and creating chat-based interfaces that enhance user interaction. You'll work with cutting-edge AI technologies while building integrations with third-party tools for real-world applications.
The ideal candidate brings 2+ years of ML/AI engineering experience, with particular expertise in LLM technologies and Python programming. You should be comfortable with modern MLOps tools, cloud platforms, and have a strong foundation in distributed systems. Your technical expertise should be matched by excellent communication skills, as you'll be explaining complex concepts to diverse audiences.
Join Artisan's mission to build a multi-billion dollar company while enjoying comprehensive benefits including full medical coverage, equity options, and engaging company events. This remote position offers the opportunity to work with a rapidly growing team that's pushing the boundaries of AI technology.
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, particularly 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
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