Applied AI Engineer

Requirements

• 4-6+ years of experience in AI or ML engineering, with at least 12 years hands-on with LLMs in production
• Proven track record of building and deploying ML-powered systems that directly impact end-user experience
• Strong Python expertise, including asynchronous programming, event loop optimization, and performance tuning
• Experience with retrieval-augmented generation (RAG), context engineering, and LLM eval frameworks
• Deep practical understanding of how LLMs reason, how to structure inputs, and how to measure improvement

Benefits

• Unlimited Learning Stipend: books, courses, or conferences of your choice
• Comprehensive Health, Dental, and Vision coverage
• 401(k) via Human Interest
• Relocation assistance to San Francisco (if applicable)
• A creative, high-agency culture that celebrates curiosity and deep thinking