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Senior AI Engineer / AI Engineer (GenAI / Diffusion / Video Generation)

· remote · senior · full-time
aitech PythonFastAPIGPU optimizationGenerative AIDiffusionVideo GenerationCUDAMLOpsKubernetesDockerRedisPostgreSQL
5.8
AI Score
The vacancy is strong in task clarity and requirements but lacks compensation details and company information.
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Job description
We are looking for a Senior AI Engineer to build production AI infrastructure for content generation, focusing on video and image processing. Strong Python and FastAPI skills are required.
Responsibilities
### Responsibilities - Develop AI pipelines: text → image, image → image, text → video, video → video. - Integrate and optimize: SDXL, Flux, Stable Diffusion, ControlNet, LoRA. - Work with video generation and multimodal AI systems. - Build production inference: GPU scheduling, batching, caching, queues, streaming, latency/throughput optimization. - Optimize GPU utilization and inference cost. - Develop backend/API: Python, FastAPI, async pipelines, orchestration. - Set up monitoring, observability, alerts, metrics.
Requirements
### Requirements - Strong Python / FastAPI. - Production experience: Generative AI / Diffusion / Video Generation. - Experience with: SDXL / Flux / Stable Diffusion / ControlNet / LoRA. - Understanding of: inference pipelines, batching, latency, throughput. - Experience with GPU infrastructure: CUDA ecosystem, VRAM optimization, model serving. - Basic MLOps: deployment, monitoring, model versioning. - Nice to have: TensorRT / ONNX / vLLM. - Kubernetes / Docker / Redis / PostgreSQL. - RabbitMQ / Kafka / Celery. - Fine-tuning / LoRA training. - Highload AI systems.
Conditions
### Conditions - Remote work. - Full-time position.
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