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Ai Rag Jobs in Powder Springs, GA (NOW HIRING)

Architect AI/ML solutions involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and LangChain (Lang). * Integrate and manage MCP Server for scalable AI infrastructure and ...

AI Engineer Location: Apharetta, GA / Berkley Heights , NJ/ Englewood Cliffs, NJ (onsite role) Mode ... Develop retrieval and grounding approaches (e.g., RAG) to ensure responses are based on approved ...

We're looking for an AI Engineer to design and deliver secure, scalable applications that bring ... In this role, you'll apply technologies like LLMs, RAG, vector search, and agentic workflows to ...

AI and Fabric Engineer

Atlanta, GA · On-site

$110K - $130K/yr

Azure OpenAI/OpenAI, RAG, embeddings, vector search, hybrid search, * prompt engineering, grounding, and hallucination mitigation. * Microsoft Fabric: Lakehouse, Warehouse, OneLake, Data Factory ...

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

... RAG pipelines over enterprise data using embeddings and vector databases • Build multi-step, tool ... Integrate AI systems with APIs, backend services, and cloud platforms • Establish evaluation ...

AI Engineer

Atlanta, GA · On-site

$50 - $55/hr

Develop and implement Retrieval Augmented Generation (RAG) solutions for knowledge retrieval and contextual AI responses. Design AI orchestration workflows using frameworks such as LangChain ...

AI SOLUTION ARCHITECTURE: AI Solution Architecture: Designs and leads end to end AI platform ... Guides development and deployment of advanced models and RAG pipelines, ensuring strong evaluation ...

New

AI Engineer

Atlanta, GA · On-site

$50 - $55/hr

Develop and implement Retrieval Augmented Generation (RAG) solutions for knowledge retrieval and contextual AI responses. * Design AI orchestration workflows using frameworks such as LangChain ...

Key areas include RAG, document processing, evaluations, observability, deployment, and integration ... Build RAG, document AI, and AI-enabled systems end-to-end: ingestion, chunking and layout decisions ...

Showing results 21-40

Ai Rag information

See Powder Springs, GA salary details

$30.3K

$55.2K

$79.1K

How much do ai rag jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai rag in Powder Springs, GA is $55,154.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 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 Powder Springs, GA are hiring for Ai Rag jobs? Cities near Powder Springs, GA with the most Ai Rag job openings:

Senior - AI Architect

Intellectt INC

Atlanta, GA • On-site

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

Hello,
Hope you are doing great.

This is Gangadhar from Intellectt INC; we have an immediate opportunity with one of our clients. Please find the below job description and if you are interested, please forward your resume to gangadhar@intellectt.com
Role: Sr. AI Architect
Location:  Atlanta, GA (Prefer Locals)
Duration: Long Term

Job Description:
We’re looking for a Senior AI Architect with deep expertise in Agentic AIOpenAI’s Agent SDK, and modern cloud-native AI platforms to lead next-generation enterprise AI initiatives.
Must Have Skills: Agentic AI, AWS Bedrock, Python, LLM needed

Key Responsibilities

  • Architect and implement agentic AI use cases using OpenAI’s Agent SDK.
  • Lead architecture design for enterprise-scale AI systems and ensure best practices in scalability, reliability, and security.
  • Drive the design and development of production-grade AI/ML applications in Python and TypeScript.
  • Architect AI/ML solutions involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and LangChain (Lang).
  • Integrate and manage MCP Server for scalable AI infrastructure and agent workflows.
  • Design and deploy AI solutions leveraging AWS services including Bedrock and Nova Sonic, ensuring robust cloud-native AI integration.
  • Collaborate with cross-functional stakeholders to translate business problems into AI-driven enterprise solutions.
  • Provide thought leadership and continuously evaluate emerging trends in agentic AI, ML, and AWS AI services.

Required Skills & Qualifications

  • 14+ years of overall experience in software engineering/architecture with focus on AI/ML.
  • Strong architecture experience, including designing large-scale, enterprise AI platforms.
  • Proven expertise with OpenAI Agent SDK and agentic AI frameworks.
  • Strong coding and architectural skills in Python / TypeScript.
  • Deep knowledge of LLMs, LangChain (Lang), and RAG architectures.
  • Hands-on experience with AWS Bedrock, AWS Nova Sonic, and AWS cloud services.
  • Experience with MCP Server for AI infrastructure.
  • Excellent analytical, problem-solving, and solution architecture skills.
  • Strong communication and leadership skills with the ability to work in dynamic, collaborative environments.

Preferred Qualifications

  • Prior experience developing and deploying enterprise-grade AI/ML applications at scale.
  • Familiarity with LLMOps, AI observability tools, and evaluation frameworks.
  • Experience in building autonomous AI agents for enterprise workflows.