Software Engineer
Role summary
Mirage is seeking a Software Engineer with 2+ years of experience to join their backend engineering team. This role involves designing, building, and owning critical backend systems, services, APIs, and ML pipelines that power their products. You will work across product, platform, and machine learning, with a strong focus on integrating and operating generative AI models in production. The ideal candidate has experience with LLMs, a track record of shipping high-impact systems, and can operate effectively in a fast-paced startup environment, delivering projects end-to-end. This is a hybrid role focused on solving complex technical challenges in distributed systems, scaling, and performance.
### Who you are
- 2+ 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
- 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
### What the job involves
- 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
- 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
### Benefits
- Comprehensive medical, dental, and vision plans
- Anything you need to do your best work
- We’ve done team off-sites to places like Paris, London, Park City, Los Angeles, and Nashville with more planned in the future
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