Inception Point AI

AI Engineer

• Drive the product roadmap and lead execution on the core content transformation pipeline
• Set technical direction for media ingestion, transformation, quality control, and delivery
• Make architecture decisions regarding orchestration, data models, and service boundaries, and document them
• Decide what to build, buy, or fine-tune across LLMs, speech recognition, text-to-speech, translation, and video models
• Run structured model bake-offs and design provider-swappable pipelines
• Manage processing cost, GPU and API spend, latency, throughput, batching, caching, routing, and graceful degradation
• Build evaluations and automated quality gates for dub naturalness and sync, translation accuracy, clip selection, brand compliance, verification, silence detection, and failure detection
• Define SLOs, observability, incident response, and data handling for client catalogs
• Address voice-cloning consent, likeness, content rights, and AI disclosure requirements
• Set engineering standards for design documents, code review, and testing
• Mentor engineers through pairing and review
• Write critical production code and deliver high-priority roadmap features from prototype to production
• Partner with the Lead AI Engineer and cross-functional leads on technical direction and architectural standards
• In the first 90 days, learn the pipeline end to end, ship a high-priority feature, write an architecture review, and run a model bake-off
• In the first 12 months, reduce cost per processed minute, establish automated quality gates and tracked evaluation scores, accelerate addition of models/languages/output formats, and improve enterprise reliability

Explore Principal AI Engineer, Media Pipelines at Inception Point AI. Review requirements and application details.