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Ai Rag Jobs in Dallas, TX (NOW HIRING)

Nagarro Inc

AI Engineer

Grand Prairie, TX · On-site

RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and integrate generative AI into enterprise cloud environments. * Strong communicator able to translate complex ...

New

NTT DATA Services

AI Architect

Dallas, TX · On-site

It requires deep expertise in RAG (Retrieval-Augmented Generation) and Agentic AI architecture on cloud-native platforms, enabling intelligent, scalable, and production-ready AI systems after ...

Programmers.io

Senior Generative AI Developer

Irving, TX · On-site

$116K - $157K/yr

Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions. Design and implement robust system architectures for AI-driven platforms ensuring scalability ...

Tanisha Systems

Sr. Generative AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Key Responsibilities Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions. Design and implement robust system architectures for AI-driven platforms ...

Alpha Consulting Corp.

Python + AI

Addison, TX · On-site

$48.75 - $67/hr

Responsibilities : • building LLM-based applications • building RAG pipelines • building AI APIs using Python and FastAPI • ML deployment using Docker • ML deployment using Kubernetes • ...

Prophecy Technologies

AI/ML Engineer

Plano, TX · On-site

$109K - $131K/yr

Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures. * Develop REST APIs and microservices using FastAPI, Flask, or similar frameworks to expose AI models.

United IT Solutions

AI Engineer

Plano, TX · On-site

Mandatory: * 3-6+ years in ML/AI with strong python hands-on programming (4-5 years) * Extensive ... Hands on RAG implementation including vectorDBs

Emumba

Senior AI Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

Senior AI Engineer Department: Backend Employment Type: Full Time Location: USA Description We're ... You'll design and ship RAG pipelines, integrate LLMs into real products, and build the backend ...

Upbound

AI Cybersecurity Engineer

Plano, TX

AI Cybersecurity Engineer Who We Are At Upbound Group, we are committed to elevating financial ... Harden RAG pipelines against retrieval manipulation attacks, indirect prompt injection via poisoned ...

Droisys

Generative AI Engineer

Dallas, TX · On-site

Build Generative AI solutions using technologies like LLMs, RAG, Prompt Engineering, and LangChain/LangGraph. * Develop AI Agents and Semantic Kernels for AI-driven enterprise automation solutions.

Upbound Group Inc.

AI Cybersecurity Engineer

Plano, TX · On-site

$120 - $140/hr

AI Cybersecurity Engineer Who We Are At Upbound Group, we are committed to elevating financial ... Harden RAG pipelines against retrieval manipulation attacks, indirect prompt injection via poisoned ...

New

Upbound

AI Cybersecurity Engineer

Plano, TX

AI Cybersecurity Engineer Who We Are At Upbound Group, we are committed to elevating financial ... Harden RAG pipelines against retrieval manipulation attacks, indirect prompt injection via poisoned ...

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Showing results 41-60

All JobsAi Rag JobsAi Rag Jobs in Dallas, TX

Ai Rag information

See Dallas, TX salary details

$31.7K

$57.6K

$82.6K

How much do ai rag jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai rag in Dallas, TX is $57,618.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $64,300.00 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 are popular job titles related to Ai Rag jobs in Dallas, TX? For Ai Rag jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Dallas, TX look for? The top searched job categories for Ai Rag jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Ai Rag jobs? Cities near Dallas, TX with the most Ai Rag job openings:
Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Dallas, TX as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $57,618 per year, or $27.7 per hour.

AI Engineer

Nagarro Inc

Grand Prairie, TX • On-site

Other

Posted 3 days ago

New

Nagarro rating

6.6

Company rating: 6.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

168th of 223 rated it services

Job description

About Company: We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work on a scale across all devices and digital mediums, and our people exist everywhere in the world (18000 plus experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!


Role: AI Engineer
Location: Grand-Prairie, Texas 75050
Work Model: Onsite (4 days a week work from office Mon - Thu) Duration: Fulltime Employee

Numbers of Interview: 3 to 4

Mode of Interviews Virtual

Tentative start date ASAP

Must Have:

  • AI Engineer with 5+ years of experience required
  • LLM/AI: Hugging Face, LangChain, Open AI API.
  • RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and integrate generative AI into enterprise cloud environments.
  • Strong communicator able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders.
  • Python, R, SQL, LLM/AI: Hugging Face, LangChain, Open AI API, RAG pipelines.

Good to have skills:

  • 2-4 years working in manufacturing domain.
  • Experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP. Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction.
  • Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency.

Disclaimer: Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race, creed, color, national origin, sex, age, disability, or marital status.

Piyush Verma Associate Staff Consultant
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Contact: +1

LinkedIn:

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