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Revolve focuses on innovative AI/ML solutions. Developing an internal AI platform for intelligent agents. Responsibilities: • Design and build multi-agent systems • Integrate LLMs with internal tools and services • Develop backend services and APIs for agent workflows • Implement RAG pipelines and tool/function calling • Build CLI-based agent workflows and automation tools • Build computer vision pipelines: object detection, multi-object tracking, person re-identification • Develop multi-camera multi-person tracking across camera networks • Work with real-time video streams and GPU inference optimization Requirements: • Node.js ecosystem (Express.js) • Python • Experience with LLM APIs and prompt engineering • Experience with RAG, tool calling, or agent frameworks • Familiarity with Docker, Linux, and Git • PyTorch and OpenCV • Object detection and multi-object tracking (YOLO, ByteTrack / BoT-SORT or similar) • Person re-identification and vector search (Milvus / FAISS) • Video processing: ffmpeg / GStreamer, RTSP, hardware decoding Optional: • NLP, ML experience • Open-source LLM deployment or inference optimization • Vision-language models (VLM) • TensorRT / ONNX Runtime