Software Engineer (Agents)

• This role focuses on designing and building agentic systems that power creative workflows for short-form video. You’ll help shape how AI agents reduce friction, accelerate learning, and unlock new creative possibilities for our users — building agents that can take creative actions on a user’s behalf — while experimenting with emerging models and techniques to bring these experiences to life in production
• Software Engineers on the agents team work across product, machine-learning, and systems engineering — owning meaningful problems end-to-end and helping define how our agents are built and deployed across the product
• Build and ship end-to-end agentic systems that meaningfully improve creative workflows, balancing quality, performance, and reliability
• Design agent architectures — how agents gather context, plan, select tools, and execute creative tasks reliably at scale
• Integrate state-of-the-art models, combining internal research and external capabilities to power new agent experiences
• Measure and improve agent quality in production, using experimentation, evaluation frameworks, and real-world feedback to guide iteration

Benefits

• Anything you need to do your best work
• We’ve done team off-sites to places like Paris, London, Park City, Los Angeles, and Nashville with more planned in the future
• Comprehensive medical, dental, and vision plans- While we don’t use hierarchical titles or levels internally, we are currently hiring engineers who have operated at senior or staff+ scope
• Able to operate effectively in an extremely fast-paced environment and scope and deliver projects end-to-end
• A track record of designing and developing ML systems or agentic pipelines in production
• Experience building evaluation systems and agentic infrastructure (context gathering, tool selection, multi-step planning)
• Exceptional problem solving fundamentals and ability to learn quickly in a rapidly evolving space
• Deep experience with context engineering: RAG systems, token optimization, context management at scale
• 5+ years of professional industry experience
• You have worked with multi-agent architectures
• You have experience fine-tuning LLMs for specific use cases
• You have a pulse on where generative media and agentic AI technology is going
• You are grounded, collaborative, and willing to do whatever it takes to help the team win
• You have been a startup founder or an early engineer at one