Proven track record in designing and developing ML systems or agentic pipelines in production
Deep expertise in context engineering, including RAG systems and token optimization
Experience in building evaluation systems and agentic infrastructure
Strong problem-solving skills and adaptability in a fast-paced environment
Responsibilities
Build and ship end-to-end agentic systems to enhance creative workflows
Design agent architectures for context gathering, planning, and executing tasks
Integrate cutting-edge models to create innovative agent experiences
Measure and improve agent quality using experimentation and real-world feedback
Benefits
Comprehensive medical, dental, and vision plans
401K with employer match
Commuter Benefits
Catered lunch multiple days per week
Dinner stipend for late work hours
Grubhub subscription
Health & Wellness Perks
Multiple team offsites and monthly team events
Generous PTO policy
Full Job Description
About the roleThis 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.
While we don't use hierarchical titles or levels internally, we are currently hiring engineers who have operated at senior or staff+ scope.
Responsibilities
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
What Makes You a Great Fit
5+ years of professional industry experience
A track record of designing and developing ML systems or agentic pipelines in production
Deep experience with context engineering: RAG systems, token optimization, context management at scale
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
Able to operate effectively in an extremely fast-paced environment and scope and deliver projects end-to-end
Even better if...
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
Benefits:
Comprehensive medical, dental, and vision plans
401K with employer match
Commuter Benefits
Catered lunch multiple days per week
Dinner stipend every night if you're working late and want a bite!
Grubhub subscription
Health & Wellness Perks
Multiple team offsites per year with team events every month
Generous PTO policy
Please note benefits apply to full time employees only.
