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Luma AI Logo Luma AI · IT - Software Development

Agent Behavior Designer

United States, SF Bay Area 150000.00 - 300000.00 USD / Year · Job Posted May 29, 2026
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Job Description

Luma is pushing the boundaries of generative AI, building tools that redefine how visual content is created. We’re seeking an Agent Behavior Designer to help shape the logic, personality, and execution of Luma Agents within our core canvas platform. This is an emerging and highly specialized discipline. While this role does not require shipping traditional full-stack production code, it extends far beyond standard prompt engineering. You will operate at the forefront of agentic engineering, working closely with the agent's core behavior, controlling its logic through sophisticated prompting stacks, and tracing causality across complex codebases and execution logs. You will define optimal user experiences, rigorously test agent behavior to identify suboptimal patterns, and iteratively refine complex prompt stacks to resolve them.

Job Responsibility

  • Diagnose & Debug: Analyze complex agent traces and system logs to identify the root causes of suboptimal outputs
  • Shape Agent Logic: Architect and refine prompt stacks to align agent behavior with intended outcomes
  • Build Evals & Ground Truth: Develop Python-based scripts and evaluation harnesses for robust quantitative and qualitative testing
  • 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

Requirements

  • 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
  • Exceptional Command of Language: Advanced proficiency in written communication, with an intuitive understanding of how precise linguistic adjustments impact AI model outputs
  • 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

Nice to have

  • 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
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