Atria - Senior Applied GenAI Video Engineer
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Requirements
• Experience building production video GenAI systems • Strong engineering skills: Python, solid software design, testing, code reviews, performance tuning. • Practical understanding of LLMs and multimodal prompting: prompt design, tool/function calling patterns, structured outputs, guardrails. • Familiarity with DevOps: CI/CD, containers, experiment tracking, monitoring/alerting, cloud deployment. • Comfort with at least one major cloud: AWS/GCP/Azure. • Able to communicate clearly in English (technical documentation and collaboration). • Video/media stack experience: FFmpeg, encoding/transcoding, timeline composition, asset management, CDN delivery. • Ads/marketing domain knowledge: creative testing workflows, performance measurement, attribution basics.
Responsibilities
• Build and own video generation pipelines: prompt orchestration, asset conditioning, shot assembly, rendering, post-processing, and delivery. • Translate product goals (better-performing ad creatives, faster iteration) into measurable GenAI outcomes (quality, CTR lift proxies, latency, cost). • Integrate external video GenAI vendors/APIs and manage versioning, fallbacks, quotas, and reliability. • Create evaluation frameworks for video quality and ad readiness. • Optimize for latency, throughput, and cost (caching, batching, retries, parallelism, content aware routing). • Partner with product/design/engineering to ship improvements quickly and safely.
Benefits
• Fully remote environment with flexible schedule. • Opportunity to work with cutting-edge GenAI video technology in a fast-growing company. • Collaborative, inclusive culture with a small team and high ownership. • Competitive compensation and benefits package. • Strong opportunities for professional growth and development. • If you're excited about building scalable, reliable video GenAI systems that directly impact business outcomes, we'd love to hear from you.
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