Atria
Technology
SeniorAppliedGenAIVideoEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Applied GenAI Video Engineer at Atria. Skills: Video generation pipelines, GenAI, LLMs, DevOps. Build video generation pipelines. Own video generation pipelines”
What You'll Achieve.
Generate more revenue; Produce winning ads efficiently; Enhance performance; Ship systems that move business metrics
Industry & Context.
Performance tuning; Optimization
What They're Looking For.
Must Have
Experience building production video GenAI systems, Python, Solid software design, Testing, Code reviews, Performance tuning, Practical understanding of LLMs, 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 AWS/GCP/Azure, Communicate clearly in English
Nice to Have
Video/media stack experience, FFmpeg, Encoding/transcoding, Timeline composition, Asset management, CDN delivery, Ads/marketing domain knowledge, Creative testing workflows, Performance measurement, Attribution basics
What You'll Do.
Build video generation pipelines
Own video generation pipelines
Translate product goals
Generate GenAI outcomes
Integrate external GenAI vendors
Manage vendor versioning
Manage vendor fallbacks
Manage vendor reliability
Create evaluation frameworks
Optimize for throughput
Partner with engineering
Ship improvements quickly
Ship improvements safely
How You'll Work.
Team & Collaboration
Product; Design; Engineering
Communication Scope
Technical documentation; Collaboration
Full Job Description
About Us Atria is an AI-powered ad creative workflow platform designed to help marketing teams generate more revenue by producing winning ads more efficiently. Trusted by top brands like Ryze Superfoods, Solawave, and Loop Earplugs, as well as forward-thinking agencies such as Power Digital, Inspire Digital, and Disruptive Digital, Atria focuses on enhancing performance across Meta and TikTok channels. About the role You'll own the end-to-end video generation pipeline that powers ad creative production — from vendor selection and prompt/media orchestration to scalable serving, quality evaluation, and reliability in production. This is a hands-on engineering role focused on shipping systems that move business metrics, not just prototypes. What you'll do • 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. What we're looking for • 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). Nice to ha
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