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

Work closely with data engineering teams for data pipelines, vector databases, and embeddings architecture Must-Have Skills & Experience * 12-15 years of total experience with strong exposure to AI ...

Experience building Retrieval-Augmented Generation (RAG), vector database integrations, tool calling, function calling, and LLM-based applications. * Ability to independently own user stories from ...

Experience building Retrieval-Augmented Generation (RAG), vector database integrations, tool calling, function calling, and LLM-based applications. * Ability to independently own user stories from ...

Vector Databases, PostgreSQL, pgvector, Redis Vector Search, Elasticsearch, Embeddings, Semantic Search, Retrieval Optimization. Workflow Orchestration: LangGraph workflows, Agent State Management ...

Vector Databases, PostgreSQL, pgvector, Redis Vector Search, Elasticsearch, Embeddings, Semantic Search, Retrieval Optimization. Workflow Orchestration: LangGraph workflows, Agent State Management ...

Design enterprise Oracle Data & AI architectures using OCI, Oracle AI Database 26ai/23ai, Autonomous AI Database, and Exadata . * Lead AI Vector Search, RAG, Generative AI, and Agentic AI solutions.

Required : • Good understanding and hands on with LLM (Llama, Mistral, Open AI APIs) Lang chain, Haystack, LlamaIndex. • Good experience in using Vector Database like Pinecone, Milvus, PGVector ...

... vector database, orchestration frameworks, and model integration patterns. o Lead architectural reviews and deep-dive sessions with development teams to ensure a shared understanding of the technical ...

Work with vector databases such as Pinecone, FAISS, Chroma, or Azure AI Search. * Implement data ingestion, embeddings, chunking, retrieval, and evaluation pipelines. * Collaborate with Data ...

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

Vector databases, hybrid search, document chunking, and knowledge graphs (e.g., Neo4j). Cloud & MLOps: Containerization with Docker and Kubernetes, CI/CD pipelines, and cloud platforms like AWS, GCP ...

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

Experience with relational, NoSQL, and vector databases. Preferred Qualifications: * Experience with Azure Machine Learning, Azure Functions, Azure App Services, Azure DevOps, AWS Lambda, SageMaker ...

AI & Advanced Tech Proficiency: o Solid conceptual understanding of o Generative AI, o Large Language Models (LLMs), and Vector Databases. o Familiarity with o Agentic AI architectures (e.g., multi ...

Extensive experience with RDBMS (Oracle, Postgres) , No SQl Databases like Mongo, any vector database. Experience with MLOps principles and tools is a plus. Exposure to Agentic Framework and MCP ...

... using vector databases. • Implement automated testing frameworks for Gen AI applications, such as DeepEval and RAGAs. • Develop custom validation scripts for evaluating AI model accuracy ...

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

... 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 ...

Familiarity with vector databases (e.g., Pinecone, Weaviate, pgvector, FAISS) and embedding-based retrieval. Exposure to MLOps/LLMOps tooling -- MLflow, Weights & Biases, model registries, and ...

Preferred Qualifications * · Experience with agentic frameworks and orchestration (e.g., LangChain, LangGraph, LlamaIndex, or multi-agent frameworks). * · Familiarity with vector databases (e.g ...