Vector Pipeline Jobs in Texas (NOW HIRING)

Design and build ETL/ELT pipelines and data processing workflows * Develop batch and real-time data ... Manage and optimize Vector Databases for embedding storage and similarity search * Build secure ...

Role: Sr. GenAI Engineer with Graph DB, Vector DB, Neo4j & RAG Location: Dallas, TX (3 days a week ... Build knowledge graph pipelines integrating multiple data sources to support LLM fine-tuning and ...

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 ...

... pipelines using vector databases Proficient in Knowledge Graph design and implementation -- Neo4j, RDF, SPARQL, and graph-based reasoning for AI applications Strong background in Data Engineering ...

Responsibilities : • Develop pipelines to parse documents, chunk, vectorise, and store vector data. • Design schemas for vector stores to optimise retrieval efficiency. • Create prompt ...

Experience building and optimizing RAG (Retrieval-Augmented Generation) pipelines using vector databases * Proficient in Knowledge Graph design and implementation - Neo4j, RDF, SPARQL, and graph ...

Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale Generative AI applications • Vector Foundations: Implement and optimize vector search capabilities ...

... vector databases, MCP setup, full-stack application development, cloud-native deployments, observability, and data engineering pipelines . The ideal candidate should be capable of building scalable ...

Design and implement scalable ETL/ELT pipelines that process both structured (SQL, logs) and unstructured (PDFs, emails, docs) data specifically for LLM consumption. * Vector Database Management:

Design and implement scalable ETL/ELT pipelines that process both structured (SQL, logs) and unstructured (PDFs, emails, docs) data specifically for LLM consumption. * Vector Database Management:

LightRAG platform teams on ingestion pipelines and retrieval quality * AI engineering peers on shared architecture and enhancements 3. Python Services * Maintain Python-based services for vector ...

Design and implement scalable ETL/ELT pipelines that process both structured (SQL, logs) and unstructured (PDFs, emails, docs) data specifically for LLM consumption. * Vector Database Management:

Design and implement scalable ETL/ELT pipelines that process both structured (SQL, logs) and unstructured (PDFs, emails, docs) data specifically for LLM consumption. * Vector Database Management:

... pipelines, prompt engineering, and API integrations . Technical Stack: LLMs: OpenAI GPT, Claude ... Vector Databases, PostgreSQL, pgvector, Redis Vector Search, Elasticsearch, Embeddings, Semantic ...

... pipelines, prompt engineering, and API integrations . Technical Stack: LLMs: OpenAI GPT, Claude ... Vector Databases, PostgreSQL, pgvector, Redis Vector Search, Elasticsearch, Embeddings, Semantic ...

Develop and deploy services using Google Vertex AI (model endpoints, pipelines, vector search). * Assist in containerization (Docker) and deployment via Kubernetes/GKE. * Contribute to CI/CD ...

Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale Generative AI applications. * Vector Foundations: Implement and optimize vector search capabilities ...

Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale Generative AI applications. * Vector Foundations: Implement and optimize vector search capabilities ...

Actively debug complex deployment failures, pipeline breaks. Configure Amazon Bedrock Knowledge Bases (RAG), vector retrieval stores, and Bedrock Inference Profiles (cross-region routing, throughput ...

... 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 ...