Software Engineer, ML Systems

📋 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