The engineer will be responsible for owning and delivering backend features end-to-end, spanning API design through deployment, while solving complex problems related to video generation pipelines, AI integrations, and billing systems. They will also actively shape the architecture of core services and contribute to a codebase prioritizing long-term maintainability.
The engineer will be responsible for owning and delivering backend features end-to-end, spanning API design through deployment, while solving complex problems related to video generation pipelines, AI integrations, and billing systems. They will also actively shape the architecture of services powering core product workflows and contribute to a highly maintainable codebase.
This role focuses on streamlining execution and product delivery across standard development and R&D/AI teams by defining strategy, translating it into clear requirements, and managing cross-team execution using Jira. Key duties include enforcing accountability, improving visibility, and ensuring the team ships high-quality work predictably and quickly.
The role involves building agentic systems capable of reasoning, planning, and executing multi-step tasks reliably within the AI-driven media pipeline. Responsibilities include designing and deploying LLM-based services, developing video/image intelligence pipelines, and shipping scalable inference pipelines on cloud infrastructure.
The engineer will be responsible for owning and delivering backend features end-to-end, including API design through deployment, and solving complex problems related to video generation pipelines, AI integrations, and billing systems. They will also shape the architecture of services powering core product workflows and contribute to a maintainable codebase.
