Applied AI Engineer

📋 Description

• Design, implement, and refine system prompts and guardrails for the AI character platform.
• Build evaluation frameworks for character fidelity, response quality, and safety.
• Architect and implement RAG systems with embeddings, vector retrieval, and relevance evaluation.
• Collaborate with creative/brand teams to translate character attributes into AI behavior specs.
• Lead prompt versioning, regression testing, and model evaluation across updates.
• Integrate with multi-provider LLM APIs such as OpenAI and Google Gemini, and guide API choices.

🎯 Requirements

• 3+ years of experience building and shipping production LLM-powered systems.
• Deep expertise in prompt engineering: system prompts, few-shot, chain-of-thought, and multi-turn management.
• Experience designing evaluation frameworks for LLM outputs, including adversarial and security testing.
• Hands-on experience with RAG architectures: embeddings, vector stores, and retrieval evaluation.
• Proficiency with major LLM APIs (OpenAI, Google Gemini, Anthropic) and principled API decisions.
• Strong Python skills and comfort working in AWS environments.

🎁 Benefits

• Health & Wellness benefits
• Time Off to Recharge
• Financial Well-being programs
• Life, Family and caregiving support
• Volunteer and Community Initiatives
• Learning & Development opportunities