Vector Database Job Jobs in Dallas, TX (NOW HIRING)

Data AI Engineer with Vector Databases Location: Plano, TX Key Responsibilities: * Design and build ETL/ELT pipelines and data processing workflows * Develop batch and real-time data pipelines using ...

... vector database. o Serve as the subject matter expert on data sources, liaising with data owners to understand structures, access patterns, and semantics. o Ensure the data ingestion pipeline is ...

Vector Database Management: Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking ...

Vector Database Management: Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking ...

Vector Database Management: Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking ...

Vector Database Management: Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking ...

Retrieval-Augmented Generation (RAG), Vector database architectures, LLMOps frameworks • Experience with: Prompt orchestration, Model evaluation, AI monitoring frameworks • Strong knowledge of:

Build and optimize end-to-end Retrieval-Augmented Generation (RAG) pipelines, including sophisticated chunking strategies and vector database management. * Tooling & Libraries: Develop and maintain ...

Deep practical experience with RAG architectures, embedding models, and vector database management (specifically within the BigQuery ecosystem). Legacy Integration: Strong background in connecting ...

Build and optimize end-to-end Retrieval-Augmented Generation (RAG) pipelines, including sophisticated chunking strategies and vector database management. * Tooling & Libraries: Develop and maintain ...

Build and optimize end-to-end Retrieval-Augmented Generation (RAG) pipelines, including sophisticated chunking strategies and vector database management. * Tooling & Libraries: Develop and maintain ...

Test the speed and efficiency of the vector database retrieval process. Identify how increasing the "context window" size impacts overall system performance. * Token Throughput Monitoring: Analyze ...

Oversee the integration of Vector Databases (e.g., Pinecone, Weaviate, or PGVector) and design "memory" systems that allow agents to retain context across sessions. * Observability & Tracing:

Oversee the integration of Vector Databases (e.g., Pinecone, Weaviate, or PGVector) and design "memory" systems that allow agents to retain context across sessions. * Observability & Tracing:

Test the speed and efficiency of the vector database retrieval process. Identify how increasing the "context window" size impacts overall system performance. * Token Throughput Monitoring: Analyze ...

Production experience with vector databases and designing ingestion + embedding pipelines for both batch and streaming workloads. * Hands-on with prompt design, evaluation, LLM orchestration, and RAG ...

Working knowledge of retrieval-augmented generation (RAG) pipelines and vector databases Roles & Responsibilities • Build and tune LLM-based applications using platforms like Vertex, GPT, Lamma ...

Evaluate and guide the adoption of cloud-native AI services (Azure OpenAI, AWS Bedrock, Vertex AI, etc.) and vector database technologies (Pinecone, Chroma, Milvus, etc.). * Lead AI model ...

The ideal candidate will have hands-on expertise in prompt engineering, fine-tuning LLMs, and working with LangChain and vector databases , while also ensuring robust API and backend development on ...

Deep understanding of LLMs, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate). * Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)