, retrieval systems, vector databases, or AI infrastructure concepts is a plus. Demonstrated ability to rapidly ship high quality...
, retrieval systems, vector databases, or AI infrastructure concepts is a plus. Demonstrated ability to rapidly ship high quality...
considerations Experience leading or mentoring architect communities Familiarity with RAG architectures, vector databases...
, CloudWatch, API Gateway, DynamoDB, etc. Solid understanding of LLM frameworks, multi-agent systems, vector databases, knowledge...
in production. Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector... Generative AI capabilities including domain-tuned LLMs, vector reasoning techniques, or specialized retrieval architectures...
with diverse data stores: relational, NoSQL, object/blob, vector, and document. Operated end-to-end as a one-person team: design...
;and RAG pipelines supported by vector databases. Our zero-distance innovationâ„¢ solutions for GenAI can reduce GenAI costs...-trained datasets;fine-tuned, industry-specific LLMs;and RAG pipelines supported by vector databases. Our zero-distance...
for technical audiences. Experience with AI-related data integration technologies and concepts, including MCP, RAG and vector...
technologies and concepts, including RAG, vector databases, search indexes, and knowledge bases, specifically...
knowledge of test equipment used for SerDes characterization: real-time and sampling oscilloscopes, BERTs, vector network...