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Applied AI Engineer - Remote

Posted 2 days ago
Software Development
Full Time
USA

Overview

As an Applied AI Engineer at Artisan, you'll be at the forefront of building autonomous software agents that enhance outbound sales through AI technology.

In Short

  • Work on building core intelligence for the AI employee, Ava.
  • Develop agentic infrastructure including memory systems and planning modules.
  • Create integrations with third-party systems for seamless functionality.
  • Design reinforcement loops and behavior tuning systems.
  • Collaborate with product and design teams for intelligent behavior implementation.
  • Own model evaluation pipelines for continuous improvement.
  • Implement fallback systems to handle uncertainty in agents.
  • 3–5+ years of experience in ML/AI engineering required.
  • Strong software engineering skills in Python are essential.
  • Experience with LLM tooling is preferred.

Requirements

  • Experience in applied LLM or agentic system contexts.
  • Proficiency in building end-to-end applications.
  • Deep understanding of reasoning and memory mechanisms.
  • Ability to write clean, maintainable code.
  • Experience integrating AI models into production environments.

Benefits

  • Opportunity to pioneer a new AI-native product category.
  • Work with a mission-driven and ambitious team.
  • Competitive salary and equity options.
  • Full benefits package.
  • Regular team events and off-sites.
  • Fast-moving culture with meaningful weekly outputs.
Artisan logo

Artisan

Artisan is an innovative company focused on creating AI Employees, known as Artisans, and developing user-friendly software that streamlines outbound sales processes. Their flagship product, an AI BDR named Ava, integrates essential tools for B2B sales, including data management, AI-driven email sequences, and deliverability optimization. With rapid growth and significant funding, Artisan is on a mission to revolutionize the sales landscape and build a multi-billion dollar enterprise, inviting talented individuals to join their dynamic team.

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