We are seeking a talented Multimodal AI Systems Architect to develop and optimize AI systems that seamlessly integrate vision and audio models. This role focuses on enhancing our voice-to-voice interactions and multimodal retrieval capabilities, ensuring our systems are efficient and innovative.
Responsibilities:
•
Integrate vision encoders and audio-native models into core agent reasoning loops.
•
Optimize streaming latency for voice-to-voice AI interactions.
•
Architect multimodal RAG systems capable of retrieving insights from videos and PDFs.
Qualifications:
•
Experience with Whisper, CLIP, and multimodal LLM integration.