Backend engineer building and owning end-to-end services, APIs, data pipelines, and ML infrastructure to power an AI-native video platform. Requires 2+ years experience shipping production systems, strong problem-solving, and comfort integrating large generative AI models.
175k – 275k
On-site2+ YOEBackend Engineering
About the role
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.
Requirements
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.
Nice-to-Haves
Worked extensively with LLMs, generative media models, and have a pulse on where the technology is going.
Grounded, collaborative, and willing to do whatever it takes to help the team win.
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.
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.
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