Software Engineer, Agents

Mirage

$120K — $160K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of professional industry experience
  • Proven track record of designing and developing ML systems or agentic pipelines in production
  • Extensive experience with context engineering like RAG systems and token optimization
  • Background in building evaluation systems and agentic infrastructure
  • Strong problem-solving skills with a quick adaptability to change
  • Experience managing projects end-to-end in fast-paced settings

Responsibilities

  • Build and ship agentic systems to enhance creative workflows with a focus on quality and reliability
  • Design agent architectures for context gathering and executing creative tasks at scale
  • Integrate cutting-edge models to innovate new agent experiences
  • Measure and enhance agent quality using real-world feedback and evaluation frameworks

Benefits

  • Comprehensive medical, dental, and vision plans
  • 401K with employer match
  • Commuter benefits
  • Regular catered lunches
  • Dinner stipend for late work hours
  • Grubhub subscription
  • Health and wellness perks
  • Frequent team offsites and monthly team events
  • Generous PTO policy
Full Job Description
This 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.

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.

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