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Rag Engineer Jobs in Dallas, TX (NOW HIRING)

AI Engineer

Fort Worth, TX · On-site

$114K - $150K/yr

Implement Graph RAG solutions by integrating knowledge graphs, entity extraction, relationship ... Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake ...

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 ...

Gen. AI Engineer

Fort Worth, TX · On-site

$100K - $160K/yr

This is a hands-on engineering role focused on building production-ready AI platforms from ... Design and develop enterprise Generative AI applications using LLMs, RAG, Graph RAG, and multi ...

AI / LLM Engineer Location: Seattle/NJ/Dallas, TX Duration: 12 plus months with possible extension ... RAG systems, document AI, voice AI

AI/ML Engineer - Remote

Dallas, TX · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

We are seeking an AI Engineer to design and deploy production-grade AI solutions across LLM applications, RAG pipelines, retrieval systems, and scalable ML services. This role blends model ...

AI/ML Engineer

Plano, TX · On-site

$109K - $131K/yr

AI/ML Engineer ?? Location: Plano, TX (Hybrid) ?? Duration: Long-Term Contract Client: EmergerTech ... Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures.

AI Solutions Engineer

Dallas, TX · On-site

$150 - $200/hr

RAG, Document Intelligence, and AI Platform Patterns: * Implement Retrieval-Augmented Generation ... Strong hands-on engineering capability using Python, REST APIs, Azure services, workflow automation ...

Lead Data Engineer

Lake Dallas, TX · On-site

$111K - $133K/yr

Lead Data Engineer Location: Dallas, TX (Onsite) Job Type: Contract Duration: 12 Months Experience ... Design AI-ready data architectures supporting ML, GenAI, RAG, vector databases, and Agentic AI

RAG Pipeline Security * Harden RAG pipelines against retrieval manipulation attacks, indirect ... Engineer andmaintainnetwork security controls including segmentation andmicrosegmentation, secure ...

RAG Pipeline Security * Harden RAG pipelines against retrieval manipulation attacks, indirect ... Engineer andmaintainnetwork security controls including segmentation andmicrosegmentation, secure ...

RAG Pipeline Security * Harden RAG pipelines against retrieval manipulation attacks, indirect ... Engineer andmaintainnetwork security controls including segmentation andmicrosegmentation, secure ...

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Showing results 1-20

Rag Engineer information

See Dallas, TX salary details

$58.9K

$89.5K

$151.8K

How much do rag engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for rag engineer in Dallas, TX is $89,536.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,800.00 and $103,900.00 per year, depending on experience, location, and employer.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

How to become a rag engineer?

To become a rag engineer, you typically need a bachelor's degree in engineering, materials science, or a related field. Relevant skills include knowledge of manufacturing processes, quality control, and proficiency with industry tools and equipment; certifications in quality management or safety can also be beneficial. Gaining experience through internships or entry-level positions in manufacturing environments is important for career advancement.

What job categories do people searching Rag Engineer jobs in Dallas, TX look for?

The top searched job categories for Rag Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Rag Engineer jobs?

Cities near Dallas, TX with the most Rag Engineer job openings:

Infographic showing various Rag Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $89,536 per year, or $43 per hour.

Software Engineer - AI/RAG

InterSources Inc

Addison, TX • On-site

Full-time

Re-posted 23 days ago


Key responsibilities

  • Codes solutions and unit tests to deliver requirements per acceptance criteria and compliance requirements.

  • Designs, develops, and modifies architecture components, application interfaces, and solution enablers while maintaining architecture integrity.

  • Automates manual release activities and maintains automated test suites for integration, regression, and performance testing.


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.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

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