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Retrieval Augmented Generation Rag Jobs in Georgia

Neshent Technologies

MLOps Technical Architect

Redan, GA · On-site

$62 - $74.75/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Neshent Technologies

MLOps Technical Architect

Atlanta, GA · On-site

$63.75 - $77/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Neshent Technologies

MLOps Technical Architect

Riverdale, GA · On-site

$60 - $72.50/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Neshent Technologies

MLOps Technical Architect

Rex, GA · On-site

$61.25 - $74/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Neshent Technologies

MLOps Technical Architect

Morrow, GA · On-site

$63 - $76.25/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Neshent Technologies

MLOps Technical Architect

Atlanta, GA · On-site

$63.75 - $77/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Neshent Technologies

MLOps Technical Architect

Chamblee, GA · On-site

$65 - $78.50/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Neshent Technologies

MLOps Technical Architect

Northlake, GA · On-site

$61.75 - $74.50/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Neshent Technologies

MLOps Technical Architect

Decatur, GA · On-site

$63.25 - $76.25/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Neshent Technologies

MLOps Technical Architect

Pine Lake, GA · On-site

$61.50 - $74.25/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Neshent Technologies

MLOps Technical Architect

Vinnings, GA · On-site

$62 - $74.75/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

The Coca-Cola Company

Platform Engineering Lead

Atlanta, GA · On-site

$98K - $129K/yr

Apply modern data and AI patterns where they add value, including vector search and retrieval-augmented generation (RAG) for personalization, search and grounded AI features, plus AI cost discipline ...

Neshent Technologies

MLOps Technical Architect

Hapeville, GA · On-site

$63.75 - $76.75/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Neshent Technologies

MLOps Technical Architect

Decatur, GA · On-site

$64.75 - $78/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Neshent Technologies

MLOps Technical Architect

Lilburn, GA · On-site

$60.75 - $73.50/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Neshent Technologies

MLOps Technical Architect

Atlanta, GA · On-site

$64 - $77.25/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

Neshent Technologies

$57.75 - $69.75/hr

Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). * Experience designing and implementing RAG ...

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MLOps Technical Architect

Neshent Technologies

Avondale Estates, GA • On-site

$64.75 - $78.25/hr

Full-time

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

Job description

We are seeking an experienced MLOps Technical Architect to lead the architecture, design, and deployment of enterprise AI/ML, Generative AI, and Agentic AI solutions. The ideal candidate will have strong expertise in MLOps, cloud-native AI platforms, LLMs, RAG architectures, and AI agent frameworks, with the ability to deliver scalable, production-ready AI solutions.

Required Skills Technical Skills
  • Strong programming experience in Python and Java.
  • Hands-on experience with Agentic AI frameworks, including Google ADK, A2A, LangChain/LangGraph, CrewAI, Semantic Kernel/AutoGen, and OpenAI Agent SDK.
  • Experience integrating Gemini Tools and Custom MCP (Model Context Protocol) Tools.
  • Strong knowledge of TensorFlow, PyTorch, and AutoML for machine learning model development.
  • Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP).
  • Experience designing and implementing RAG architectures, including data ingestion, retrieval, hybrid search, and response generation.
  • Strong experience with Google Cloud Platform (GCP), Vertex AI, and Kubeflow.
  • Experience in data preprocessing, feature engineering, and ML pipeline development.
  • Proficiency with GitHub for source control and version management.
  • Experience in model development, testing, validation, deployment, and monitoring.
  • Strong knowledge of databases including Oracle, DB2, PostgreSQL, BigQuery, Cassandra, and Big Data platforms.
  • Experience working in Agile/Scrum environments.
Good to Have
  • GPU programming and performance optimization.
  • GPU profiling and TensorRT optimization.
  • Experience with vector databases and AI model optimization techniques.
Functional Skills
  • Experience working with clients in the Retail domain.
  • Knowledge of Retail Pricing processes and merchandising solutions is an advantage.
Roles and Responsibilities
  • Collaborate with business and IT stakeholders to understand business requirements and identify AI/ML opportunities.
  • Architect scalable AI/ML, MLOps, Generative AI, and Agentic AI solutions.
  • Lead the design and development of machine learning models, AI pipelines, and intelligent agent workflows.
  • Develop, optimize, and automate ML models, pipelines, and orchestration logic.
  • Design and deploy LLM-powered applications, RAG pipelines, AI agents, and vector-based memory systems.
  • Build integrations with enterprise systems using APIs, Gemini tools, and MCP-based integrations.
  • Work closely with Data Scientists, ML Engineers, DevOps, and Software Engineering teams to ensure successful deployment and operational excellence.
  • Drive technical architecture, infrastructure, tooling, and cloud strategy for AI platforms.
  • Monitor solution performance, troubleshoot production issues, and implement continuous improvements.
  • Provide timely project updates, technical guidance, and documentation to stakeholders and leadership.
  • Identify opportunities for process automation and operational efficiency.
  • Foster collaboration across cross-functional teams to ensure successful project delivery.
Preferred Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Experience designing enterprise-scale AI/ML and MLOps platforms.
  • Familiarity with cloud-native AI deployment and CI/CD practices for machine learning.

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