Principal AI Engineer, Media Pipelines

📋 Description

• Define the architecture for media ingestion, transformation, quality assurance, and delivery
• Evaluate and select technologies across large language models, speech recognition, text-to-speech
• Design modular pipelines that allow AI models and service providers to be replaced or upgraded
• Own the cost per minute of processed media and improve efficiency through batching, caching
• Develop evaluation frameworks for translation accuracy, dubbing naturalness and synchronization
• Establish service-level objectives (SLOs), observability practices, incident response procedures

🎯 Requirements

• Typically 10+ years of software engineering experience
• Demonstrated experience delivering LLM-powered or multimodal AI systems to production
• Experience with evaluation frameworks, retries, failure handling, monitoring, and inference-cost
• Deep proficiency in Python and/or TypeScript
• Experience using at least one major cloud platform
• Strong understanding of job orchestration, message queues, storage systems, databases, and

🎁 Benefits

• Technical ownership: Lead the architecture and technical direction of a core AI product while
• Product impact: Build AI-powered tools that help creators and media brands distribute content
• Advanced AI challenges: Work across multimodal AI, model orchestration, speech technologies, video
• Engineering autonomy: Influence technology choices, architecture, vendor strategy, and the product
• Cross-functional collaboration: Work closely with AI engineering specialists and organizational
• Professional growth: Establish engineering standards, mentor other engineers, and help shape the