AI Engineer, Agentic Ad Creative (Multimodal)

About the Role

We're rebuilding the creative pipeline so that *something* is an agent generating thousands of images and videos a day across Meta, Google, TikTok, Pinterest, Reddit, and Snap. The role involves extending our LLM critic and performance feedback regeneration from images-only to images + video + copy, building scripts, scene plans, b-roll, voiceovers, and captions, optimizing models, and ensuring compliance with ad policies.

Responsibilities

• CPI-feedback creative critic loop — Extend our LLM critic + performance-feedback regeneration from images-only to images + video + copy, all closed-loop, all running unsupervised at thousands of variants per day.
• Video pipeline — Build from a topic + product brief to a platform-ready 9:16 vertical ad in under 90 seconds per iteration, under $0.50 per iteration.
• Generative model router — Pick the right model per brief (Flux Schnell vs Pro, Veo 3, Sora, Runway Gen-3/4, Kling, Hailuo), minimizing $/asset under a quality floor. Prove your routing strategy in production via A/B.
• Policy pre-flight checker — Build a VLM (GPT-4o vision / Gemini / Claude vision) that vets every frame and caption against current Meta / Google / TikTok ad policy before upload. Block 100% of would-be-rejected creatives at the source.
• Brand-style LoRA / DreamBooth checkpoint — Train and ship on past CPI-winning ads. Deploy serverless on fal / Replicate. A/B against base Flux on real spend.
• Event-triggered ad pipeline (video) — Earthquake hits at 14:02 → by 14:12 you have 50 paused video variants in Meta and TikTok, each with platform-specific aspect ratios and locale-specific voiceover.

Requirements

You must understand diffusion and video models, have public artifacts such as a fal demo, a Replicate model, a Civitai upload with >100 downloads, a viral X thread of your generations, a ComfyUI workflow on GitHub, and have scroll-stopping instinct. You should have a strong portfolio and think about cost as a first-class design constraint. You must have experience with Meta Advertising Standards / TikTok branded-content rules and be able to deploy serverless inference on fal / Replicate / Modal at scale. Strong candidates may also have experience with pretrained or significantly advanced VLMs, open-sourced ComfyUI custom nodes, or authored public take on generative video model failure modes.

Qualifications

Preferably, you have experience with hosted models, training LoRAs, writing ComfyUI workflows, deploying custom checkpoints, shipping a video product end-to-end, and authoring public take on generative video model failure modes.

Skills

You should have a deep understanding of diffusion and video models, be able to name your daily model stack, and have public artifacts. You must have a strong portfolio and think about cost as a first-class design constraint. You should have experience with Meta Advertising Standards / TikTok branded-content rules and be able to deploy serverless inference on fal / Replicate / Modal at scale. Strong candidates may also have experience with pretrained or significantly advanced VLMs, open-sourced ComfyUI custom nodes, or authored public take on generative video model failure modes.

Benefits

• Health, dental, and vision care for you and your family (100% coverage for employee)
• Top-tier 401(K) plan with company matching
• Paid time off and paid holidays
• FSA, HSA and commuter benefits programs
• Team activity budget

Pay

Annual Base Pay Range: $120,000 - $220,000 USD

Schedule

Full-time