Build and own backend services, APIs, data pipelines, and infrastructure powering an AI-native video platform. The role requires at least two years of professional experience, strong production engineering fundamentals, and the ability to deliver end-to-end in a fast-paced, in-person environment.
175k – 275k/yr
On-site5+ YOEBackend Engineering
About the role
Responsibilities
Design, build, and own backend systems end-to-end, including services, APIs, data pipelines, and infrastructure that power products.
Solve complex technical challenges across distributed systems, scaling, concurrency, and performance.
Integrate and operate large generative AI models in production, including deploying, serving, and scaling systems that combine internal research and external capabilities.
Instrument, experiment, and iterate in production to continuously improve system and product quality.
Design and operate core platform infrastructure, including third-party integrations, storage systems, security, and internal APIs.
Requirements
2+ years of professional industry experience.
Track record of shipping high-impact systems and/or products in production.
Exceptional problem-solving fundamentals and ability to learn.
Excellent engineering judgment combined with practicality and strong time management.
Ability to operate effectively in a fast-paced environment and scope and deliver projects end-to-end.
Nice-to-Haves
Extensive experience with LLMs and generative media models, with awareness of the field's direction.
Grounded, collaborative approach and willingness to contribute wherever needed.
Experience as a startup founder or early engineer.
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