Mirage
Software Engineer, Backend
About this role
Mirage is seeking a senior backend engineer to design and operate core systems powering an AI-native video platform. You'll work across product, platform, and ML infrastructure, building scalable APIs, data pipelines, and production systems that integrate large generative models while collaborating closely with product and AI teams.
What you'll do
- Design, build, and own backend systems end-to-end including services, APIs, data pipelines, and infrastructure
- Solve complex technical challenges in distributed systems, scaling, concurrency, and performance
- Integrate and operate large generative AI models in production environments
- Instrument, experiment, and iterate in production to improve system and product quality
- Design and operate core platform infrastructure including third-party integrations and security
- Partner with product, design, client, and AI teams to turn ideas into reliable production systems
What they're looking for
- Backend systems design and architecture
- Distributed systems and scalability
- API design and development
- Data pipeline engineering
- Machine learning model deployment and serving
- Production infrastructure and DevOps
- Experience with generative AI and LLMs
- Problem-solving and system thinking
Benefits
- Comprehensive medical, dental, and vision insurance
- 401K with employer match
- Commuter benefits and Grubhub subscription
- Catered lunch multiple days per week and dinner stipend for late nights
- Health and wellness perks
- Generous PTO and multiple team offsites with monthly events
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Mirage
Mirage builds an AI-native video platform that leverages generative media and large language models to enable sophisticated video production, editing, and creative workflows. The company is hiring backend engineers, full-stack software engineers, ML engineers, and iOS developers to advance their AI-driven platform and enhance user experiences in web-based and mobile media creation.
View all jobs at MirageLikely interview questions
- Can you walk us through a complex backend system you designed and owned end-to-end, including how you handled scaling and performance challenges?
- What's your experience integrating and serving large language models or generative AI models in production, and what challenges did you encounter?