UC
Senior AI Engineer / AI Engineer (GenAI / Diffusion / Video Generation)
6.0/10
Unknown Company
Not specified
Remote
senior
12 days ago
aitechPythonFastAPIGPU optimizationGenerative AIDiffusionVideo GenerationCUDAMLOpsKubernetesDocker
AI Summary
The vacancy is strong in task clarity and requirements but lacks compensation details and company information.
Check Match — Just drop your CV
See your fit for Senior AI Engineer / AI Engineer (GenAI / Diffusion / Video Generation) in seconds.
Description
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.
Conditions
- •Remote work.
- •Full-time position.
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.
Loading similar jobs...