About the job
We are building the next generation of AI-native creation tools powered by intelligent AI agents. Our mission is to transform how people create by embedding agentic AI directly into creative workflows—from AI-powered camera effect generation to AI-driven video editing and storytelling. Our team operates at the intersection of AI research, systems engineering, and creative product development, translating advances in agentic AI into scalable, real-world creation tools used by millions of creators. We work closely with product and design partners to ensure that sophisticated AI systems result in simple, powerful, and intuitive creative experiences.
Responsibilities
- Research and develop agentic AI systems for creative tools
- Design agent architectures for planning, reasoning, memory, and multimodal interaction
- Build training, evaluation, benchmarking, and experimentation pipelines for agent systems
- Integrate large language models and generative models into end-to-end agent workflows
- Prototype new agent capabilities and validate them in real user scenarios
- Collaborate with engineering teams to productionize research-driven systems
Qualifications
Minimum
- Bachelor’s or Master’s degree in Computer Science or a related field
- 3+ years of related industry experience
- Strong background in AI agents, LLM systems, or multimodal AI
- Experience with model training, evaluation, and experimentation workflows
- Strong programming skills in Python, C++, or similar languages
- Ability to translate research ideas into practical systems
Preferred
- Research or applied experience with tool-use agents, coding agents, or autonomous task-execution agents
- Experience studying or improving agent behaviors such as tool selection, planning with tools, code-based execution, or error recovery
- Experience applying AI to creative domains such as camera effects, content creation, or video
- Publications or applied research contributions in agentic or generative systems