Agent Behavior Designer

About Luma AI

About the Role

What You'll Do

• Diagnose & Debug: Analyze complex agent traces and system logs to identify the root causes of suboptimal outputs. Trace causality through non-standardized text and prompts to resolve unexpected agent behaviors.
• Shape Agent Logic: Architect and refine prompt stacks to align agent behavior with intended outcomes. Oversee context window management and implement tool-calling best practices to ensure optimal agent functionality.
• Build Evals & Ground Truth: Develop Python-based scripts and evaluation harnesses for robust quantitative and qualitative testing. Partner collaboratively with the Evals team to define performance baselines and measurement frameworks.
• Understand and Advocate for the User Experience: Leverage a deep understanding of language, tone, and user intent to ensure agent interactions are intuitive, highly responsive, and creatively enabling within a media-generation environment.

Who You Are

• 2-3 Years of Experience: Professional experience in a technology-driven environment, with a strong preference for backgrounds that blend analytical and creative problem-solving with deep linguistic or communicative skills.
• Proven AI/Agentic Experience: Demonstrated hands-on experience building AI or agentic workflows within the past two years. Candidates without direct industry experience at an AI company must provide a robust portfolio of personal projects or products demonstrating these capabilities.
• Technical Literacy: Ability to manage a local development environment, navigate code repositories, write functional Python scripts, and utilize Git/GitHub. (Shipping production-level product code is not required; submitting PR’s, navigating codebase, and resolving errors is).
• Exceptional Command of Language: Advanced proficiency in written communication, with an intuitive understanding of how precise linguistic adjustments impact AI model outputs. In this domain, prose functions as code.
• Analytical Persistence & Qualitative Judgment: The persistence to iterate continuously through complex edge cases and the qualitative judgment to discern when a creative tool delivers an optimal user experience.
• AI Tool Proficiency: Advanced proficiency with AI coding assistants (e.g., Cursor, GitHub Copilot) and related AI productivity tools.

Bonus Points

• Experience building and operating Reinforcement Learning (RL) pipelines.
• Diverse hybrid backgrounds (e.g., intersections of humanities-focused study/role and Computer Science, Linguistics, or Data Analysis, or deeply technical self-taught endeavors).
• Experience with AI media generation, editing, and manipulation across modalities (video, images, 3D).
• Deep familiarity with creative workflows and the foundational tools digital artists use to craft visual narratives.

Compensation

About Luma