Join Mirage as a Backend Software Engineer to build and own critical backend systems for innovative AI video tools.
Posted by employer 21 hours ago
First seen on Joblaze 7 hours ago
Last verified on the company career page 7 hours ago
Skills & Technologies
What you'll build
Must have
Nice to have
Practical constraints
AI in the day-to-day
Integrate and operate large generative AI models in production.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Software Engineer will design and manage backend systems that support Mirage's innovative AI video products, collaborating closely with cross-functional teams. Key skills include experience with distributed systems, APIs, and machine learning pipelines, particularly in deploying generative AI models. This position is suited for senior engineers with a strong background in building impactful production systems and a knack for problem-solving in fast-paced environments. The team emphasizes collaboration and practical engineering solutions, reflecting the company's startup culture.
Joblaze insights
Quick facts
From the original posting
About the role
Backend engineering at Mirage isn’t narrowly defined. We work across product, platform, and machine learning—building the systems, services, APIs, and ML pipelines that power all of our product surfaces.
You’ll own critical backend systems end-to-end, partnering closely with product, design, client, and AI teams to turn ambitious ideas into reliable, scalable production systems. This opportunity is ideal for engineers who enjoy solving complex technical problems while staying connected to product and user outcomes.
While we don’t use hierarchical titles or levels internally, we are currently hiring engineers who have operated at senior or staff+ scope.
Responsibilities
Design, build, and own backend systems end-to-end, including services, APIs, data pipelines, and infrastructure that power our products
Solve complex technical challenges across distributed systems, scaling, concurrency, and performance
Integrate and operate large generative AI models in production—deploying, serving, and scaling systems that combine internal research and external capabilities to unlock new product experiences.
Instrument, experiment, and iterate in production to continuously improve system and product quality
Design and operate core platform infrastructure, including integrations with third-party providers, storage systems, security, and internal APIs
What Makes You a Great Fit
5+ years of professional industry experience
A track record of shipping high‑impact systems and/or products in production
Exceptional problem solving fundamentals and ability to learn
Excellent engineering taste combined with a strong sense of practicality and time-management
Able to operate effectively in an extremely fast-paced environment as well as scope and deliver projects end-to-end
Even better if...
You have worked extensively with LLMs, generative media models, and have a pulse on where the 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
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
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