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Retrieval Augmented Generation Rag Jobs in Fairburn, GA

Incident IQ

AI DevEx Engineer

Atlanta, GA · On-site

Preferred : • Experience with Retrieval-Augmented Generation (RAG) pipelines, vector databases, or knowledge graphing. • Experience building internal Developer Experience (DevEx) tools. • ...

LTM

Associate Director - Architecture

Atlanta, GA · On-site

... retrieval-augmented generation (RAG), and enterprise adoption patterns • Experience working with Azure OpenAI, Cognitive Services, Databricks, and AIML platforms • Ability to define reference ...

Tror AI for everyone

Data Scientist

Atlanta, GA · On-site

Hands-on experience with Large Language Models (LLMs) and Generative AI frameworks, including prompt engineering, retrieval-augmented generation (RAG), and model orchestration. * Experience building ...

Booz Allen Hamilton

AI/ML Evaluation Engineer

Atlanta, GA · On-site

$79K - $105K/yr

... retrieval-augmented generation ( RAG ) pipelines, and enterprise AI evaluation frameworks. You'll apply technical expertise across AI evaluation, retrieval optimization, memory and state management ...

Booz Allen Hamilton

AL/ML Technical Lead

Atlanta, GA · On-site

You will lead the design and implementation of scalable ML and generative AI solutions, including AI agents, retrieval-augmented generation ( RAG ) systems, and evaluation frameworks that ensure ...

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

As of Jul 24, 2026, the average hourly pay for retrieval augmented generation rag in Fairburn, GA is $19.58, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $20.43 per hour, depending on experience, location, and employer.
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Retrieval Augmented Generation Rag jobs near you

Machine Learning Engineer III / AI-ML Engineer

4pconsultinginc

Atlanta, GA • On-site

Contractor

Posted 19 days ago

Job description

Position:           Machine Learning Engineer III – AI/ML Engineer

Location:          Atlanta, GA

Duration:          6 Months

Client:             Southern Company services

Job Summary

We are seeking an experienced Machine Learning Engineer III / AI-ML Engineer to support the development of reusable, scalable AI products that can be deployed across multiple operating companies and business units.

This role will focus on building production-grade AI solutions, including Retrieval-Augmented Generation (RAG), multi-agent orchestration, NLP pipelines, transcription solutions, model deployment, and reusable AI components for internal operational workflows.

The ideal candidate will have strong hands-on experience with GCP or Azure AI services, modern ML frameworks, strong software engineering skills, and a product-focused mindset.

Key Responsibilities

  • Design and build modular, reusable AI components that can scale across business units.
  • Lead development of scalable RAG-based solutions for document comparison and analysis.
  • Work with structured and unstructured data to support AI-driven business solutions.
  • Engineer multi-agent systems for intelligent task coordination and decision support.
  • Develop transcription and NLP pipelines for customer interaction analysis.
  • Build, fine-tune, and deploy models using tools and frameworks such as PyTorch, Transformers, and LangChain.
  • Package models for deployment in GCP, Azure ML, and/or Databricks.
  • Integrate with Databricks for data ingestion, feature engineering, experimentation, and model development.
  • Work closely with MLOps, DevOps, and Data Engineering teams to align infrastructure and deployment patterns.
  • Contribute to shared libraries, APIs, templates, and reusable frameworks that accelerate AI product delivery.
  • Provide technical guidance to teams adopting reusable AI components.
  • Ensure AI products meet enterprise-grade security, compliance, scalability, and maintainability standards.
  • Implement monitoring for model performance, data drift, usage metrics, and production reliability.

Required Qualifications

  • Experience as a Machine Learning Engineer, AI Engineer, Data Scientist, or similar technical role.
  • Strong experience building production-grade AI/ML solutions.
  • Hands-on experience with cloud-based AI services, preferably GCP or Azure.
  • Experience developing RAG-based applications using structured and unstructured data.
  • Strong knowledge of machine learning, NLP, LLMs, and modern AI application patterns.
  • Experience with frameworks and tools such as:
    • PyTorch
    • Transformers
    • LangChain
  • Experience deploying models in cloud or enterprise environments.
  • Strong programming and software engineering skills.
  • Ability to work with APIs, reusable components, and scalable architectures.
  • Experience collaborating with MLOps, DevOps, and data engineering teams.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

  • Experience with Azure ML, GCP Vertex AI, Databricks, or similar platforms.
  • Experience designing multi-agent systems or AI orchestration workflows.
  • Experience developing transcription, NLP, or customer interaction analytics pipelines.
  • Experience with model monitoring, data drift detection, observability, and usage metrics.
  • Experience building shared AI libraries, reusable templates, or internal AI platforms.
  • Understanding of enterprise security, compliance, and governance requirements for AI products.
  • Product mindset with the ability to design AI solutions that are reusable, scalable, and business-focused.