Software Engineer, Content Engineering (AI Content Orchestration)

Paramount is on a mission to unleash the power of content and is seeking a Backend Software Engineer to join their Content Engineering team. In this role, you will build and maintain backend services that orchestrate AI-generated video clips, ensuring precision in delivery and integration with machine learning workflows.

Responsibilities:

• Power the Orchestration Engine: Build the backend services that manage the lifecycle of an AI-generated clip, from beginning to final delivery
• Bridge Systems: Create the interfaces that connect advanced ML workflows with core Video Ops and Encoding pipelines
• Scale Content Intelligence: Ensure our metadata and payload delivery systems can handle the automated processing of thousands of hours of video daily
• Feature Ownership: Design and implement backend orchestration solutions, focusing on high-quality API design and service reliability
• Service Orchestration: Build and manage asynchronous workers, queues, and event-driven architectures that handle video processing tasks and complex workflows
• API & Interface Development: Develop robust APIs that provide critical metadata and payloads to downstream discovery systems and video infrastructure
• System Integration: Partner with core video teams to ensure seamless handoffs of video assets and processing signals
• Production Excellence: Participate in code reviews and design discussions, applying good technical judgment to improve the scalability and observability of our services
• ML in Production: integrate ML models into production pipelines, focusing on low-latency inference and reliable data delivery

Requirements:

• 3+ years of experience in backend software engineering or distributed systems
• Solid proficiency in Python (or similar backend languages) and experience building and scaling production APIs
• Experience with asynchronous messaging, task queues, and background workers
• Solid knowledge of SQL, database design, and data modeling for high-volume systems
• Proven ability to own features autonomously from design to deployment delivering clean, maintainable code
• Familiarity with Cloud Architecture (GCP preferred) and containerization (Docker/Kubernetes)
• Experience or solid interest in Video/Media Processing (e.g. video encoding, FFmpeg, or metadata standards)
• Basic knowledge of how to serve machine learning model outputs via APIs
• Experience working with agentic AI workflows or complex microservice orchestration