Software Engineer; Agents
Listed on 2026-09-29
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Software Development
AI Engineer (Applied/Software)
- 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
- Anything you need to do your best work
- Comprehensive medical, dental, and vision plans
- We’ve done team off-sites to places like Paris, London, Park City, Los Angeles, and Nashville with more planned in the future
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-endA 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 scale5+ 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 winYou have been a startup founder or an early engineer at one
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