Job Description & How to Apply Below
Experience:
2–4 years Full‑time
We’re looking for an AI Engineer to build and scale next‑gen AI agents, computer‑vision pipelines, and image/video generation workflows used in real production environments.
What You’ll Do
Build and orchestrate multi‑agent AI systems for automated script analysis and structured output.
Develop face/costume/location consistency pipelines using embeddings and CV techniques.
Create and optimize prompts for image/video generation across models (Stable Diffusion, Kling, Veo, etc.).
Integrate models via APIs and manage async processing on AWS.
Evaluate new GenAI models and ensure quality, speed, and cost efficiency.
Ship production‑grade ML systems with validation, retry logic, and scalable architecture.
Must‑Have Skills
Strong in Computer Vision (face recognition, embeddings, similarity scoring)
Hands‑on with image/video generation models
Experience with LLMs, prompt engineering, and agent frameworks
Proficient in Python, PyTorch/Tensor Flow, OpenCV
Proven record of deploying ML systems to production
Nice to Have
Experience with Control Net, IP‑Adapter, img2img
Fine‑tuning vision models
Film/cinematography background
AWS (S3, SQS, ECS)
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