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Retrieval Augmented Generation Rag Jobs in Dallas, TX

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

Architect Retrieval-Augmented Generation ( RAG ) systems, including vector store design, hybrid search strategies, chunking pipelines, and context relevance evaluation. * Apply MLOps best practices ...

Photon

Python Developer with ML - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

OOP, design patterns, modular architecture. • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate ...

Winaxis

AI Engineer

Dallas, TX · On-site

Build and integrate solutions using Large Language Models (OpenAI, Gemini, Claude, Llama, etc.). * Assist in developing Retrieval-Augmented Generation (RAG) pipelines and AI agents. * Write clean ...

Judge Group, Inc.

Software Engineer - Advanced

Plano, TX · On-site

$90 - $95/hr

You will play a key role in building scalable systems that leverage retrieval-augmented generation (RAG), conversational AI, and cloud-native architectures . Minimum Qualifications * 10+ years of ...

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 ...

Cogent IBS, Inc

Director of AI/ML

Flower Mound, TX · On-site

$220K/yr

Retrieval-Augmented Generation (RAG) * Intelligent automation * Design scalable frameworks for multi-agent AI systems supporting business workflows and decision-making. * Identify high-impact AI and ...

New

Hillwood

AI Solutions Engineer

Dallas, TX · On-site

$140 - $170/hr

Implement Retrieval-Augmented Generation (RAG) pipelines, document intelligence workflows, structured extraction workflows, and contextual intelligence patterns. * Build and maintain reusable ...

Programmers.io

Senior Generative AI Developer

Irving, TX · On-site

$116K - $157K/yr

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will ...

Prodapt

Senior AI/ML engineer

Richardson, TX · On-site

$111K - $146K/yr

Retrieval-Augmented Generation (RAG) & Knowledge Systems * Design and optimize vector embedding pipelines, intelligent document chunking strategies, semantic search, and hybrid retrieval ...

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.

United Airlines

Senior Software Engineer

Dallas, TX

$73K - $174K/yr

Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines to improve response quality and domain-specific knowledge retrieval. * Conduct model evaluation, prompt engineering, and ...

United Airlines

Senior Software Engineer

Irving, TX · On-site

$73K - $174K/yr

Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines to improve response quality and domain-specific knowledge retrieval. * Conduct model evaluation, prompt engineering, and ...

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How much do retrieval augmented generation rag jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for retrieval augmented generation rag in Dallas, TX is $20.03, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $20.91 per hour, depending on experience, location, and employer.

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Retrieval Augmented Generation Rag jobs near you
Infographic showing various Retrieval Augmented Generation Rag job openings in Dallas, TX as of June 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $41,666 per year, or $20 per hour.

Machine Learning Engineer

Electronic Transaction Consultants Corporation

Frisco, TX • On-site

$120 - $190/hr

Other

Medical, Dental, Retirement, PTO

Posted 28 days ago

Job description

Overview

Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team building the next generation of Intelligent Transportation Systems. In this role, you will design, develop, and deploy state-of-the-art computer vision and language models that power scalable, real-world solutions. You’ll work with large-scale image and video data, building and optimizing production-grade vision systems while contributing clean and modular code to shared repositories.

As part of our AI team, you’ll collaborate closely with engineering teams to deliver high-impact features for our growing SaaS platform. The ideal candidate brings hands-on experience deploying computer vision and language models in production and applying MLOps best practices on cloud platforms.

Responsibilities
  • Fine-tune and deploy computer vision and deep learning models for object detection, object tracking, and OCR at scale.
  • Develop vision-language models and Mixture of Experts architectures, from experimental design through production deployment.
  • Architect Retrieval-Augmented Generation (RAG) systems, including vector store design, hybrid search strategies, chunking pipelines, and context relevance evaluation.
  • Apply MLOps best practices for training, evaluation, deployment, and monitoring of production grade computer vision models, with an emphasis on clean, modular, maintainable code.
  • Contribute to our machine learning repositories and optimize models for performance, scalability, and real-time inference across edge and cloud environments.
  • Drive performance optimization and scalability of ML systems across edge and cloud environments.
  • Collaborate with cross-functional teams to integrate computer vision solutions into end-to-end products, translating research outcomes into measurable platform impact.

This list of responsibilities might not cover everything you’ll end up doing.

Qualifications
  • 5+ years of hands-on machine learning experience, with deep specialization in computer vision and a proven track record of shipping models to production.
  • Master's degree required (Ph.D. preferred) in Computer Science, Machine Learning, or a closely related field.
  • Extensive knowledge of computer vision architectures such as Vision Transformers and VLMs along with OpenCV and PIL.
  • Experience with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes) able to own the full model lifecycle from experimentation through production monitoring.
  • Experience building and deploying LLM-based systems and Retrieval-Augmented Generation (RAG) pipelines, including vector store integration and retrieval evaluation.
  • Strong communicator who can translate complex research findings into actionable decisions for engineering and product stakeholders.
Benefits

We offer a Total Rewards plan designed with you and your family’s health and wellness in mind that includes:

  • Paid days off (i.e. vacation, sick days, bereavement leave)
  • Health and Dental plans
  • Retirement plans
  • Employee and Family Assistance Program (EFAP)
  • Employee referral program

We welcome applicants from all backgrounds, regardless of race, color, religion, sex, veteran status, sexual orientation, gender identity, national origin, age, or disabilit y or any other protected characteristics in accordance with applicable federal, state/provincial, and local laws. We’re committed to creating a workplace where everyone feels valued and respected.

We appreciate all responses and will acknowledge only those being considered for an interview.

We respectfully request no calls or unsolicited resumes from Agencies.

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