Multimodal AI Systems Architect (AI Engineering)

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.

Knowledge of streaming architectures and WebRTC.

Expertise in cross-modal alignment.