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Retrieval Augmented Generation Jobs in Georgia (NOW HIRING)

Vibotek LLC

Agentic AI Developer

Atlanta, GA · On-site

... Retrieval-Augmented Generation (RAG) and knowledge-grounded AI solutions • Integrate AI agents with enterprise systems via REST APIs, databases, and cloud services • Build agent memory, tool ...

Fisec Global

Gen AI Engineer

Atlanta, GA · On-site

Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc. * Strong background ...

Infinity Solutions

Agentic AI Developer

Alpharetta, GA · On-site

Proficiency in using vector databases and Retrieval-Augmented Generation (RAG) techniques to ground AI models with external data and prevent hallucinations. APIs and Integrations: The ability to ...

Omnissa

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

Knowledge of text embedding models and vector databases for Retrieval Augmented Generation (RAG) systems. * Experience with orchestration frameworks (e.g., LangChain/LangGraph) to build AI agents and ...

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Retrieval Augmented Generation information

What is a retrieval augmented generation?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What does a retrieval augmented generation engineer do?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.

What skills and qualifications are needed for retrieval augmented generation?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Georgia?

The most popular types of Retrieval Augmented Generation jobs in Georgia are:

What are popular job titles related to Retrieval Augmented Generation jobs in Georgia?

For Retrieval Augmented Generation jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Retrieval Augmented Generation jobs in Georgia look for?

The top searched job categories for Retrieval Augmented Generation jobs in Georgia are:

What cities in Georgia are hiring for Retrieval Augmented Generation jobs?

Cities in Georgia with the most Retrieval Augmented Generation job openings:

Retrieval Augmented Generation jobs near you
Infographic showing various Retrieval Augmented Generation job openings in Georgia as of August 2026, with employment types broken down into 71% Full Time, 28% Part Time, and 1% Contract. Highlights an 63% Physical, 3% Hybrid, and 34% Remote job distribution.

AI/ML Ops Architect

Tata Consultancy Service Limited

Atlanta, GA • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Must Have Technical/Functional Skills
Technical Skills -
  • Programming Languages: Python, Java
  • Agentic AI : Google ADK, A2A, LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
  • Tool Integration: Gemini Tools, Custom MCP tools
  • Machine Learning Frameworks: Experience with TensorFlow, PyTorch and AutoML.
  • Generative AI: Hands-on experience with generative AI models, RAG (Retrieval-Augmented Generation) architecture, and Natural Language Processing (NLP).
  • Cloud Platforms: Google Cloud Platform (GCP), Vertex AI and Kubeflow
  • Data Engineering: Proficiency in data preprocessing and feature engineering.
  • Version Control: Experience with GitHub for version control.
  • Data Science Practices: Skills in building models, testing/validation, and deployment.
  • Databases: DB2, Oracle, BigQuery, BigData, Cassandra, PostGRES
  • Collaboration: Experience working in an Agile framework.
  • RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search.
  • Good to Have: Knowledge in GPU programming, GPU profiling, GPU optimizations & TensorRT

Functional Skills -
  • Experience working with customers in Retail Domain
  • Knowledge in Retail Pricing functionalities is a plus
Roles & Responsibilities
  • Meet with IT and Business teams to understand the requirements and opportunities
  • Architect systems for AI/ML, agent-based AI workflows.
  • Lead the design and development of AI/ML, ML Ops & Agentic AI solutions
  • Develop and optimize ML models, pipelines, and orchestration logic
  • Deploy AI/ML Models, LLM-based pipelines, agent orchestration, and vector-based memory systems
  • Work closely with data scientists, ML engineers, DevOps, and software engineers to ensure seamless integration and deployment of solutions
  • Drive technical strategy, tooling, and infrastructure decisions.
  • Provides management with timely communication on status & utilizes appropriate tools and/or develops custom solutions as required to meet objectives.
  • Identifies areas for process improvement.
  • Maintains appropriate communication within the team and across various teams (i.e., internal and external).

TCS Employee Benefits Summary:
  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Aut& Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

#LI-KR3
Salary Range-$130,000-$150,000 a year

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