Software Engineer, Agents
Mirage · New York, NY · 2 wk ago
On-siteEngineering$175k–$275k/yrFull-time
About the role
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.
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
Qualifications
- 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
Skills
- Strong software engineering skills
- Experience with machine learning and AI
- Ability to work in a fast-paced, interdisciplinary team
Benefits
- Comprehensive medical, dental, and vision plans
- 401K with employer match
- Commute 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