Design and build agentic systems for creative workflows in short-form video at an AI video startup in NYC.
Posted by employer 1 day ago
First seen on Joblaze 22 hours ago
Last verified on the company career page 22 hours ago
Skills & Technologies
What you'll build
- Build and ship end-to-end agentic systems
- Design agent architectures
- Integrate state-of-the-art models
- Measure and improve agent quality
Must have
- 5+ years of professional industry experience
- Designing and developing ML systems in production
- Deep experience with context engineering
- Experience building evaluation systems
Nice to have
- Worked with multi-agent architectures
- Experience fine-tuning LLMs
- Pulse on generative media and agentic AI technology
- Startup founder or early engineer experience
Practical constraints
- In-person at NYC HQ
AI in the day-to-day
Building multimodal agents that turn creative direction into edits and integrating state-of-the-art models.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Software Engineer focuses on creating agentic systems that enhance creative workflows for short-form video, enabling AI to perform tasks on behalf of users. Key skills include designing agent architectures, integrating advanced models, and improving agent performance through real-world feedback. This position is suited for experienced engineers with a strong background in machine learning systems and a collaborative mindset, particularly those who thrive in fast-paced environments. The team is dedicated to pushing the boundaries of generative media and AI technology.
Joblaze insights
- Listed today — first seen on Joblaze October 9, 2026. Last confirmed on Mirage's careers page October 9, 2026.
- This exact title is also open at 1 other location at Mirage: Union Square, New York City.
- AI/ML appears in 42.5% of 551 comparable senior ai/ml roles in United States; Agentic systems appears in 0.5% of 551 comparable senior ai/ml roles in United States.
Quick facts
- Is the Software Engineer, Agents role remote?
- No — this is an on-site role in New York City, United States.
- How much experience is required?
- At least 5 years of relevant experience for this Software Engineer, Agents role.
- Where is the role based?
- Mirage is hiring for this position in New York City, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Agentic systems, LLMs, Machine Learning, RAG systems.
- What seniority level is this role?
- Mirage targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer, Agents role at Mirage.
From the original posting
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.
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.
While we don’t use hierarchical titles or levels internally, we are currently hiring engineers who have operated at senior or staff+ scope.
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
Grubhub subscription
Health & Wellness Perks
Generous PTO policy
Standard company text repeated across Mirage's postings is omitted here.