ZipRecruiter

Log In

1

Retrieval Augmented Generation Jobs in Texas (NOW HIRING)

KPMG US

Data Engineer- Manager

Dallas, TX · On-site

$113K - $136K/yr

... Retrieval-Augmented Generation (RAG) and context engineering pipelines from audit knowledge sources and the integration into AI agent workflows; design and implement the use of metadata across ...

NAVA Software Solutions

Sr AI Agentic Engineer

Spring, TX · On-site

$93K - $127K/yr

Retrieval-Augmented Generation (RAG) * Design and optimize RAG pipelines including document ingestion, chunking strategies, embedding models, vector store selection, and retrieval ranking for ...

W3Global

Senior Data Scientist

Houston, TX · On-site

Build and deploy RAG (Retrieval-Augmented Generation) systems & AI chat interfaces Work closely with client data science teams (ML/DL ecosystems) Develop GenAI-based enterprise knowledge solutions ...

Infovision

AI Engineer

Dallas, TX · On-site

... Retrieval-Augmented Generation) pipelines using vector databases Proficient in Knowledge Graph design and implementation -- Neo4j, RDF, SPARQL, and graph-based reasoning for AI applications Strong ...

Droisys

Principal AI Engineer

Dallas, TX · On-site

Build infrastructure for routing and managing LLM service calls, develop prompt engineering and completion pipelines, and integrate retrieval-augmented generation (RAG) frameworks. * Design and ...

Sourceability

Principal NLP Scientist

Austin, TX · On-site

Retrieval-augmented generation and semantic search * Knowledge graph and GraphRAG-based approaches for connecting structured business data, unstructured text, and entity relationships in AI assistant ...

Echo IT Solutions

Sr Software Engineer AI-ML

Irving, TX · On-site

$113K - $149K/yr

... • Retrieval-Augmented Generation (RAG) • Model fine-tuning Company : Echo IT Solutions provides IT consulting, managed services, cloud, cybersecurity, data, and custom software development.

Synechron

Principal AI Engineer

Dallas, TX · On-site

$140K - $150K/yr

Design and implement retrieval-augmented generation (RAG) frameworks to support enterprise search, reasoning, and decision-support use cases. * Architect and develop AI-powered document ingestion ...

Synechron

Principal AI Engineer

Dallas, TX · On-site

$140K - $150K/yr

Design and implement retrieval-augmented generation (RAG) frameworks to support enterprise search, reasoning, and decision-support use cases. * Architect and develop AI-powered document ingestion ...

previous page

Showing results 41-60

All JobsRetrieval Augmented Generation JobsRetrieval Augmented Generation Jobs in Texas

Retrieval Augmented Generation information

What does a retrieval augmented generation engineer do?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.

What is a retrieval augmented generation?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What skills and qualifications are needed for retrieval augmented generation?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Texas? The most popular types of Retrieval Augmented Generation jobs in Texas are:
What are popular job titles related to Retrieval Augmented Generation jobs in Texas? For Retrieval Augmented Generation jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Retrieval Augmented Generation jobs in Texas look for? The top searched job categories for Retrieval Augmented Generation jobs in Texas are:
What cities in Texas are hiring for Retrieval Augmented Generation jobs? Cities in Texas with the most Retrieval Augmented Generation job openings:
Retrieval Augmented Generation jobs near you
Infographic showing various Retrieval Augmented Generation job openings in Texas as of August 2026, with employment types broken down into 45% Full Time, and 55% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

Sr. GenAI Engineer with Graph DB, Vector DB, Neo4j

Saransh Inc

Dallas, TX • On-site

$121K - $159K/yr

Contractor

Re-posted 24 days ago

Job description

Role: Sr. GenAI Engineer with Graph DB, Vector DB, Neo4j & RAG
Location: Dallas, TX (3 days a week onsite is required)
Job Type: Contract
 
Experience Required: 10+ years
 
Required Skills:
Strong expertise in knowledge graph, Graph DB, Vector DB, Neo4j, RAG, and similar technologies.
About the Role:
  • One of the finance clients is seeking a Sr Gen AI Engineer(10+ years of exp.) with strong expertise in knowledge graph, Graph DB, Vector DB, Neo4j, RAG, and similar technologies.
  • This engineer will design and implement data infrastructure that enables efficient fine-tuning and deployment of large language models (LLMs) on client servers for low-latency inference.
  • The role demands a hands-on technologist who can architect, build, and optimize data systems serving enterprise-grade AI use cases.
 
Key Responsibilities:
  • Design and implement GraphDB and VectorDB solutions to store, query, and retrieve structured and unstructured financial data.
  • Build knowledge graph pipelines integrating multiple data sources to support LLM fine-tuning and retrieval-augmented generation workflows.
  • Set up scalable data pipelines for model training, embedding generation, and data preprocessing
  • Collaborate with AI researchers and ML engineers to prepare data and infrastructure for fine-tuning open-source or proprietary LLMs.
  • Deploy and optimize model hosting for fast inference on on-prem or cloud GPU servers.
  • • Ensure data governance, lineage and compliance with internal and regulatory standards.