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nlp java python scala rag๐ Description
- Build, evaluate, and evolve foundational agents such as DeepSearch, DeepResearch, Extract, and Compose.
- Develop techniques for intent detection, query understanding, ranking, and RAG to improve accuracy and relevance.
- Define metrics, evaluation pipelines, and benchmarks for agent quality, including precision/recall, factual grounding, and latency trade-offs.
- Research and implement best practices in retrieval, orchestration, and evaluation of multi-agent workflows.
- Collaborate with platform engineers to design core components that enable secure, reliable, and scalable deployment of agents.
- Partner with product teams to translate enterprise use cases into agentic solutions, ensuring measurable improvements in user experience.
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