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Ai Rag Jobs in Garland, TX (NOW HIRING)

Precision Technologies Corp

AI Engineer

Dallas, TX · On-site

Contract Key Skills - AI, Python, Rag, LLM Overview We are seeking an AI Engineer with proven experience in building and scaling AI-powered applications . This role combines hands-on development with ...

INFOSYS NOVA HOLDINGS LLC

AI Engineer

Fort Worth, TX · On-site

$114K - $150K/yr

Implement Graph RAG solutions by integrating knowledge graphs, entity extraction, relationship ... Deploy AI workloads on AWS, Azure, and GCP , using services such as Bedrock, SageMaker, Azure ...

Computer Task

AI/LLM Solution Architect

Dallas, TX · On-site

$140 - $190/hr

Define reference architectures for LLM, RAG, Generative AI, and multi-agent workflows . * Design solutions using structured and unstructured data, including RAG and Action Agents for task automation.

New

Computer Task Group, Inc

AI/LLM Solution Architect

Dallas, TX · On-site

$62.25 - $82.25/hr

Define reference architectures for LLM, RAG, Generative AI, and multi-agent workflows . * Design solutions using structured and unstructured data, including RAG and Action Agents for task automation.

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data. * Develop and test AI agents, traditional ML models, and deterministic logic for real-world use ...

Tiger Analytics Inc.

Enterprise AI Architect

Dallas, TX · Remote

$70.75 - $91/hr

Generative AI, Agentic AI, RAG, AI Agents * AI orchestration frameworks (such as LangChain or LangGraph) * Vector databases and knowledge retrieval * AI governance, security, and Responsible AI

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data. * Develop and test AI agents, traditional ML models, and deterministic logic for real-world use ...

Tiger Analytics Inc.

Enterprise AI Architect

Dallas, TX

$68.25 - $88/hr

Generative AI, Agentic AI, RAG, AI Agents * AI orchestration frameworks (such as LangChain or LangGraph) * Vector databases and knowledge retrieval * AI governance, security, and Responsible AI

Tiger Analytics Inc.

Enterprise AI Architect

Dallas, TX · On-site +1

$68.25 - $88/hr

Generative AI, Agentic AI, RAG, AI Agents * AI orchestration frameworks (such as LangChain or LangGraph) * Vector databases and knowledge retrieval * AI governance, security, and Responsible AI

CBRE

Senior AI Engineer - Talent Community

Richardson, TX · On-site

$94K - $130K/yr

Lead the end-to-end design, development, and implementation of scalable AI/ML systems and pipelines, emphasizing Generative AI/LLM solutions, including RAG implementation and evaluation.

Wells Fargo

AI Solutions Lead

Irving, TX · Hybrid

  • Medical

  • Life

  • Retirement

  • PTO

Hands-on delivery of AI, machine learning, generative AI, RAG, automation, or agentic solutions - building, not only advising (Experience as a Forward Deployed Engineer, Customer Engineer, or ...

Tixy Services LLC

Lead Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Design and implement AI-ready data architectures that support analytics, machine learning, generative AI, RAG, vector databases, and Agentic AI solutions. * Leverage AI-assisted development tools ...

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ExlService Holdings, Inc.

Assistant Manager

Dallas, TX · On-site

Knowledge of agentic AI, RAG pipelines, and LLM technologies is highly advantageous. * Limited Java/Spring Boot experience is a plus, demonstrating a well-rounded skill set. * Excellent problem ...

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All JobsAi Rag JobsAi Rag Jobs in Garland, TX

Ai Rag information

See Garland, TX salary details

$30.9K

$56.3K

$80.7K

How much do ai rag jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ai rag in Garland, TX is $56,275.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,300.00 and $62,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.

What job categories do people searching Ai Rag jobs in Garland, TX look for?

The top searched job categories for Ai Rag jobs in Garland, TX are:

What cities near Garland, TX are hiring for Ai Rag jobs?

Cities near Garland, TX with the most Ai Rag job openings:

Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Garland, TX as of June 2026, with employment types broken down into 45% Full Time, 48% Part Time, and 7% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $56,275 per year, or $27.1 per hour.

Software Engineer - AI/RAG

InterSources Inc

Addison, TX • On-site

Full-time

Re-posted 5 hours ago

Job description

Job Summary:
InterSources Inc is focused on developing reusable toolkits for Gen AI RAG capabilities. The role involves designing, building, and operating software solutions while ensuring compliance and maintainability, as well as mentoring other engineers in CI/CD practices.
Responsibilities:
• Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
• Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
• Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack
• Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
• Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
• Automates manual release activities
• Designs, develops, and maintains automated test suites (integration, regression, performance)
• Performs Continuous Integration and Continuous Development (CI-CD) activities.
• Contributes to story refinement and definition of requirements.
• Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle.
• Manage multiple priorities, and simultaneously engage with multiple teams.
• Be vocal and actively participate in all session with business stakeholders and agile teams.
• Collaborate with product teams, data analysts and data scientists to design and build solutions.
• Utilizes multiple architectural components (across data, application, business) in design and development of client requirements.
Qualifications:
Required:
• 5 years of relevant experience required.
• Experience in Semantic Search, data processing, Data & Analytics, Data pipeline.
• Experience in OOP in Python/Scala/Java programming experience with expert level development skills.
• Hands on experience and knowledge generative AI RAG process for various use cases, including chunking, embedding, retrieval, reranking and summarization.
• Hands-on experience in application development in one or more areas MongoDB, Redis, Angular/React Frameworks, Containerization, Building API based application leveraging FAST API services, JWT Integration, API Gateway.
• Develop efficient utilities, automation frameworks, data science platforms that can be utilized across multiple Data Science teams for AI/ML and GenAI work.
• Experience with AI/ML/GenAI Lifecycle Management and Development and its Ecosystem. Hands on experience building frameworks using MLOps, Fine – Tuning techniques, Inference Frameworks.
• Building API based application leveraging FAST API services, JWT Integration, API Gateway.
• Working in large sized teams that collaboratively develop on a shared multi-repo codebase using IDEs (e.g. VS Code rather than Jupyter Notebooks), Continuous Integration (CI), Continuous Deployment (CD) and Continuous Testing.
• Hands-on DevOps experience with one or more of the following enterprise development tools: Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and pytest Unit Testing), Artifact Management (Artifactory) and Deployment (Ansible).
Preferred:
• Experience developing Gen AI training and RAG platform with open-source model, inferencing & servicing capabilities, MCP modules etc.
Company:
InterSources Inc. solves operational problems where protection, performance, compliance, AI, and workforce capability must work together. Founded in 2007, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.
InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

Year founded

2007

Social media

Twitter

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