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Research Engineer
SciPhi provides an AI retrieval system (R2R) for production-ready RAG, offering features like multimodal ingestion, knowledge graphs, and enterprise-grade security for building context-aware AI applications.
Experience Requirements:
You’ve trained, fine-tuned, or served state-of-the-art deep learning models.
You’re comfortable digging into ambiguous research problems and turning ideas into prototypes.
You enjoy playing with large datasets, building data pipelines, and innovating with new model architectures.
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Infrastructure Engineer
SciPhi provides an AI retrieval system (R2R) for production-ready RAG, offering features like multimodal ingestion, knowledge graphs, and enterprise-grade security for building context-aware AI applications.
Experience Requirements:
You have experience with container orchestration (e.g., Kubernetes, Docker) and distributed systems.
You’ve tackled large-scale production challenges—database sharding, queue orchestration, or microservice architecture.
You’re a systems thinker who loves optimizing at every level of the stack.
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Product Engineer
SciPhi provides an AI retrieval system (R2R) for production-ready RAG, offering features like multimodal ingestion, knowledge graphs, and enterprise-grade security for building context-aware AI applications.
Experience Requirements:
You have a knack for building intuitive UIs and seamless user experiences.
You blend design thinking with solid engineering skills.
You enjoy iterating quickly based on real user feedback.
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