Job Description
📋 Description Build and ship end-to-end agentic systems that meaningfully improve creative workflows, balancing Design agent architectures—how agents gather context, plan, select tools, and execute tasks at scale Integrate state-of-the-art models, combining internal research and external capabilities Measure and improve agent quality in production using experiments and real-world feedback 🎯 Requirements 5+ years of professional industry experience Track record of designing and developing ML systems or agentic pipelines in production Deep experience with context engineering: RAG, token optimization, context management Experience building evaluation systems and agentic infrastructure (context gathering, tool Strong problem solving and rapid learning in evolving space Ability to deliver end-to-end projects in a fast-paced environment 🎁 Benefits Comprehensive medical, dental, and vision plans 401K with employer match Commuter Benefits Catered lunch multiple days per week Dinner stipend if working late Grubhub subscription
