AI Video Generation Architect

🔥 9 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $170k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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Modern Classrooms Project

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11 - 50 employees

The Modern Classrooms Project empowers educators to meet every student’s needs through blended, self-paced, mastery-based instruction.

📋 Description

• Architect the video generation pipeline end to end. • Design the gen-AI pipeline that transforms lesson specifications into storyboards, scene graphs, scripts, and production plans. • Ship multiple substantial features per week. • Build the multi-agent production workflow. • Engineer the video generation pipeline. • Design programmatic motion to support worked examples with narration. • Run parallelized rendering with generative video models. • Build the ground-truth quality system. • Architect resilient, high-scale media infrastructure. • Raise the bar for the team.

🎯 Requirements

• You are AI-native. • You are an expert in continuous multi-session development with Claude Code and/or OpenAI Codex. • You are an expert at prompt engineering and context engineering. • You write Agent Skills the way other engineers write unit tests. • You practice Spec-Driven Development (GitHub Spec Kit or equivalent) as part of your normal workflow. • You have built real backend AI orchestration layers that run when you're not watching. • You think in graphs — shared state flowing through nodes, conditional edges, interrupts, and circuit breakers. • You have shipped non-trivial agentic pipelines using LangGraph, Python, and TypeScript, or equivalent. • You treat durable execution, structured outputs, human-in-the-loop checkpoints, and provider-agnostic model routing as baseline design constraints. • You have built evaluation harnesses, annotated datasets, and versioned prompt chains as first-class artifacts. • You are a programmatic media craftsperson. • You have deep experience with a programmatic animation framework (e.g. Manim, Remotion / Motion Canvas) and strong FFmpeg fundamentals: codecs, containers, color, audio streams, muxing. • You understand TTS model trade-offs, expressive direction with audio tags and SSML, pronunciation lexicons, forced alignment and word-level timestamps, and loudness standards. • You can hear when the pacing is wrong for a twelve-year-old learner, and you fix it in the pipeline, not the waveform. • You treat quality as a measurable system. • You build golden datasets and calibrated judges before you scale generation. • You combine deterministic checks (schemas, layout constraints, symbolic math verification, A/V sync) with LLM- and VLM-as-judge evaluation validated against human labels. • You catch the subtly wrong diagram, the mispronounced denominator, the worked example that's off by one — and the same eye applies to agent-generated code, which is plausible but not always right. • You do not ship what you cannot measure. • You are self-directed. • You thrive in small, high-autonomy teams and startups where the surface area is broad and the context shifts constantly. • You write clearly. • You own a problem end-to-end without waiting for a ticket to tell you what to do next. • You love to learn. • You're actively leveraging the latest developments in AI and applying them to enhance both your own and others' work. • You're also motivated by MCP's mission and vision, and eager to build teacher- and student-facing products. • You want to shape the world. • You're motivated to be part of something larger than yourself. • You believe that the highest value of your talent is using it to empower others. • You're ready to make a real difference in educators' and young people's lives. • You have experience building edtech products. • You have experience handling sensitive and/or confidential data, particularly in an education context (COPPA, CIPA, FERPA, PPRA, SOC 2).

🏖️ Benefits

• Employer-sponsored health insurance through CareFirst BlueCross BlueShield • Employer-sponsored dental and vision insurance through MetLife • Participation in Vanguard 403(b) deferred-compensation plan with 3% employer match • Paid Time Off, inclusive of: vacation/PTO (20 days), paid holidays, paid parental leave, sick and safe paid time off, "Me Days", and the ability to earn paid Comp time off • Annual budget for MCP-funded Continuous Learning for the program(s) you request (available after 6 months of continuous full-time employment) • FSA and Dependent Care FSA access • 1x Salary Life Insurance company-paid coverage • Access to Wishbone Pet Insurance Benefit • Ability to work remotely and to set your own hours (within reason)