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MirageMirageNew York, NY

Software Engineer, ML Products

Build and ship end-to-end agentic systems and architectures for creative video workflows at an AI-native video platform. Requires 5+ years building production ML/agentic pipelines, deep RAG/context engineering experience, and strong evaluation skills.

175k – 275k
On-site5+ YOEML Engineering

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.
  • 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.

Skills

Ml SystemsAgentic PipelinesRAGContext EngineeringLlm Fine-TuningMulti-Agent ArchitecturesEvaluation FrameworksPython

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