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Ai Rag Jobs in Lancaster, TX (NOW HIRING)

H2O.ai

Principal AI Engineer

Dallas, TX · On-site

... RAG, fine-tuning, prompt engineering, function calling, and tool use. • Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety ...

Tekaccel, 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 ...

Scalence L.L.C.

Python + AI

Addison, TX · On-site

$48.75 - $67/hr

C. is seeking a GenAI / AI Engineer focused on building LLM-based applications, RAG pipelines, and AI APIs using Python and FastAPI. The role also involves ML deployment using Docker, Kubernetes ...

Accede Solutions Inc

AI Engineer

Irving, TX · On-site

Build RAG pipelines, embedding workflows, vector search, and agentic AI systems . * Develop and optimize LLM orchestration and prompt strategies. * Deploy and serve models using tools such as FastAPI ...

New

INFOSYS NOVA HOLDINGS LLC

Gen. AI Engineer

Fort Worth, TX · On-site

$100K - $160K/yr

Design and develop enterprise Generative AI applications using LLMs, RAG, Graph RAG, and multi-agent architectures. * Build scalable document ingestion, embedding, retrieval, and vector search ...

Northern Base

AI Engineer

Irving, TX · On-site

$120K - $130K/yr

RAG; autonomous decision frameworks; Python/R/SQL/SAS; vector databases; semantic search; knowledge graphs; metadata management; production ML/AI deployment, monitoring, governance, explainability ...

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 ...

NTT DATA Services

AI Architect

Dallas, TX

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 ...

IDR, Inc.

AI Solutions / Systems Architect

Addison, TX · On-site

This role will build production-ready LLM applications, AI agents, and RAG solutions while integrating with Microsoft Fabric, OneLake, and Azure cloud services. *This role will require onsite work on ...

Natsoft Corporation

Sierra.ai Consultant

Dallas, TX · On-site

... RAG) pipelines, and Agent SDKs - Skilled in building and deploying AI/LLM systems in production environments - Familiarity with AI agents, including evaluation frameworks, agent tooling, RAG ...

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 ...

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 ...

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All JobsAi Rag JobsAi Rag Jobs in Lancaster, TX

Ai Rag information

See Lancaster, TX salary details

$30.3K

$55.2K

$79.2K

How much do ai rag jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ai rag in Lancaster, TX is $55,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $61,600.00 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 cities near Lancaster, TX are hiring for Ai Rag jobs? Cities near Lancaster, TX with the most Ai Rag job openings:
Ai Rag jobs near you

AI Engineer

AIT Global, Inc.

Grand Prairie, TX • On-site

$99K - $133K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title: AI Engineer
Location: Grand-Prairie, TX
Experience with MES and SCADA is preferred but not required.
Job Overview:
  • AI Engineer with 6-9 years of experience required along with 2-4 years working in manufacturing domain(Optional).
  • Hands-on 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.
  • 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.

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