A nonprofit organization that empowers educators through our blended, self-paced, mastery-based instructional model.
AI Video Generation Architect
Location
California
Posted
1 day ago
Salary
$170K - $200K / year
Seniority
Senior
Job Description
AI Video Generation Architect
Modern Classrooms Project
• 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.
Job 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)
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