is leading the way to deliver the next chapter in retrieval augmented generation by combining knowledge with Agents at scale., to meet the demands of complex queries that requireand reflection to deliver high quality resultsfor both people and LLMshave many keyur work
You canfollow ourprogression from better search, to Retrieval-Augmented Generation (RAG)to agentic retrieval:
A major aspect of this role is to push our development of knowledge retrieval to the frontier. This requires a capable individual who is well versed inML model GPU hosting integrations and LLM context engineering. Someone who cansolve the hardest. Someone whowhere the latest reasoning models are bestsuited andsupport the integration oflow latency optionsin placeswhere speed is critical.
Learning ,
Required Qualifications
Other Requirements
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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