AI Engineer
, vector databases, reranking, hybrid search, and retrieval optimization. Familiarity with agentic AI frameworks...
, vector databases, reranking, hybrid search, and retrieval optimization. Familiarity with agentic AI frameworks...
, Vector Search, and related Databricks capabilities. Evaluate emerging Databricks features and cloud technologies through...
, vector search, hybrid search, prompt engineering, grounding, and hallucination mitigation. Microsoft Fabric: Lakehouse.... Build and optimize RAG pipelines using embeddings, vector/semantic search, structured data grounding, and evaluation...
of oscilloscopes, spectrum analyzers and vector network analyzers Protocol-level knowledge of serial interfaces including SPI, I2C...
applications. GenAI Architecture: Strong knowledge of Retrieval-Augmented Generation (RAG), embeddings, vector databases, prompt... frameworks. Data & Search: Experience integrating structured and unstructured enterprise data with GenAI solutions using vector...
is a plus AI Frameworks (ex. Langchain) MCPs RAG and Vector Database Harness Engineering Nice to have: Big Data (Databricks) Multi...
pipelines. Deep understanding of vector databases and embeddings. Experience with Retrieval-Augmented Generation (RAG...
, or CrewAI. Integrate Large Language Models (LLMs) with enterprise vector databases and external REST APIs. Optimize backend..., and vector databases. Knowledge of web frameworks such as FastAPI, Flask, or Django. Familiarity with MLOps practices, Git...
, chunking, embedding, retrieval, evaluation and orchestration pipelines Work hands-on with Mosaic AI, MLflow, Vector Search..., RAG, LLMs, vector databases, MLflow, APIs and AWS or Azure. Excellent communication, problem-solving and client-facing...
development + deployment of Neural Networks, Support vector Machines, Deep Learning, etc. Experience working on Different classes...