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Software Engineer, Agents

Design and build agentic systems for AI-native video creation, integrating LLMs and evaluation frameworks to power creative workflows. Requires 5+ years building ML/agentic systems in production.

175k – 275kNew York, NYML EngineeringOnsite5+ YOE

About the role

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

Requirements

  • 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

Nice-to-Haves

  • Worked with multi-agent architectures
  • Experience fine-tuning LLMs for specific use cases
  • A pulse on where generative media and agentic AI technology is going
  • Grounded, collaborative, and willing to do whatever it takes to help the team win
  • 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
  • Grubhub subscription
  • Health & Wellness Perks
  • Multiple team offsites per year with team events every month
  • Generous PTO policy

Skills

RAGLLMsMulti-Agent ArchitecturesContext EngineeringToken OptimizationEvaluation SystemsAgentic InfrastructureTool SelectionMulti-Step PlanningMl Systems

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