and production-ready RAG pipelines, Scalable vector database indexing, clustering, and retrieval pipelines to optimize vector search... AI infrastructure, including: Production-ready Retrieval-Augmented Generation (RAG) pipelines, Scalable vector databases (e.g., Pinecone...
AI workflows with tool/function calling Implement vector search solutions using vector databases or MongoDB Ensure CI/CD... of NLP and transformer-based models Experience with vector databases and search systems Familiarity with agentic...
and AI pipeline integration Experience with retrieval-augmented generation (RAG) patterns, including vector store management...
and unstructured data pipelines Feature engineering pipelines Support for vector and embedding-based data Integrate seamlessly...
. Strong understanding of retrieval-augmented generation, embeddings, and vector databases. Experience designing evaluation pipelines...
including Rohde & Schwarz (R&S) and/or MVG Satimo platforms. Hands-on experience with RF test equipment including: Vector...
, memory, guardrails;vector databases concepts such as chunking, embeddings;patterns such as RAG (sparse, dense, hybrid...
integrations, plugins, agents, vector databases, prompt chains, and third-party AI services. Apply and interpret relevant...
AI frameworks Familiarity with Retrieval-Augmented Generation (RAG), Vector databases, Cloud platforms, Docker/containerized...
, agent frameworks, vector search, embeddings, retrieval pipelines, and tool‑use orchestration into production systems. Lead...‑on experience with agentic AI frameworks, LLM APIs, vector databases, retrieval pipelines, or ML workflows. Ability to influence...