Vector Databases Jobs in Texas (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 ...

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 ...

GPT, LLaMA, Claude, BERT, PEFT/LoRA, LangChain, RAG Pipelines, Vector Databases, Semantic Search, Azure, Docker * Generative AI & LLMs: GPT, LLaMA, Claude, BERT, PEFT/LoRA, Prompt Engineering

Production experience deploying and managing vector databases (Milvus, Qdrant, or Weaviate) at scale Experience with PostgreSQL or MySQL in production environments Understanding of RAG pipelines ...

Production experience deploying and managing vector databases (Milvus, Qdrant, or Weaviate) at scale Experience with PostgreSQL or MySQL in production environments Understanding of RAG pipelines ...

Production experience deploying and managing vector databases (Milvus, Qdrant, or Weaviate) at scale Experience with PostgreSQL or MySQL in production environments Understanding of RAG pipelines ...

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

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

... 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 Databases * LangChain / Semantic Kernel (Preferred)

Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python Design and implement RAG pipelines over enterprise data using embeddings and vector databases * Build ...

Implement Retrieval-Augmented Generation (RAG) pipelines leveraging vector databases and embedding models. Create AI extensions, custom tools, and function-calling capabilities for intelligent ...

... using vector databases Integrate AI services with enterprise systems, APIs, and data platforms Develop backend services and APIs using FastAPI / Flask Optimize AI workflows for performance ...

The ideal candidate will have a solid background in machine learning along with handson expertise in LLMs, RAG, embeddings, vector databases, and Agentic AI frameworks such as CrewAI, AutoGen ...

Perform AI-specific testing , including validation of LLMs and RAG architectures using vector databases. * Implement automated testing frameworks for Gen AI applications , such as DeepEval and RAGAs

Agentic AI, RAG, Vector Databases, Prompt Engineering

Agentic AI, RAG, Vector Databases, Prompt Engineering

... vector databases

... vector databases

RAG & Vector Databases * LangGraph, Agents SDK, Google ADK * Docker, Kubernetes, CI/CD * AWS, Azure, or GCP * AI Governance & Observability * Cursor, Windsurf, Codex Key Responsibilities * Define AI ...