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Retrieval Augmented Generation Jobs in Georgia (NOW HIRING)

Develop retrieval-augmented generation pipelines, integrate enterprise data sources, and manage vector databases. * Deploy solutions, monitor performance, troubleshoot issues, and update them to ...

Develop retrieval-augmented generation pipelines, integrate enterprise data sources, and manage vector databases. * Deploy solutions, monitor performance, troubleshoot issues, and update them to ...

Jr. AI Prompt Engineer

Ashburn, GA · On-site

$65 - $90/hr

Identifyopportunities for advanced AI capabilities, automation, Retrieval-Augmented Generation (RAG), and agentic AI solutions and coordinate with technical teams as needed. * U.S. Citizenship.

Develop retrieval-augmented generation pipelines, integrate enterprise data sources, and manage vector databases. * Deploy solutions, monitor performance, troubleshoot issues, and update them to ...

Develop retrieval-augmented generation pipelines, integrate enterprise data sources, and manage vector databases. * Deploy solutions, monitor performance, troubleshoot issues, and update them to ...

Guide engineers on best practices for Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), prompt engineering, and model integration. * Mentor AI engineers through technical coaching ...

Gen AI Lead

Alpharetta, GA · On-site

$57.50 - $75.50/hr

RAG (Retrieval Augmented Generation) * Agent-based workflows and tool usage * Multi-agent architectures * MCP (Model Context Protocol) servers and integrations * Agentic systems, including ...

Lead the design, development, and deployment of complex AI solutions, including LLM-based applications, retrieval-augmented generation (RAG) pipelines, and model-driven services. * Own technical ...

Implement RAG (Retrieval-Augmented Generation) systems to "talk" to legacy documentation and extract business logic for re-implementation.Establish automated testing and linting pipelines to validate ...

AI/ML Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP,and Generative AI. strong expertise in LLMs, Retrieval-Augmented Generation (RAG),Agentic AI, and MLOps to develop ...

Showing results 21-40

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:

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 Implementation Engineer

Aptean

Alpharetta, GA • On-site

$120 - $180/hr

Other

Posted 17 days ago


Job description

Overview About the role

You will join the ASCENT team as an Forward Deployed AI Implementation Engineer, based in our office in Alpharetta You will design and implement AI-native solutions that address strategic business problems for Aptean customers, working across the solution lifecycle from problem understanding through implementation, deployment, and continuous monitoring.

Key Responsibilities
  • Understand customer business problems and contribute to solution design.
  • Design and implement AI-native solutions using large language models, traditional machine learning, and software development.
  • Use Python for scripting, data processing, model development, and integration throughout the solution lifecycle.
  • Develop retrieval-augmented generation pipelines, integrate enterprise data sources, and manage vector databases.
  • Deploy solutions, monitor performance, troubleshoot issues, and update them to maintain value.
About you

You can understand customer business problems and contribute to effective solutioning. You work collaboratively across teams-customers, business analysts, and data integration engineers-and communicate technical results clearly. You are comfortable troubleshooting complex systems and explaining findings to non-technical stakeholders.

Qualifications
  • Experience developing and deploying traditional machine learning models and generative AI solutions.
  • Advanced Python skills for scripting, data processing, and model development.
  • Proficiency with generative AI frameworks including RAG, LangGraph, and LangChain.
  • Deep knowledge of retrieval-augmented generation, agentic RAG, GraphRAG, and large language model techniques.
  • Ability to tailor AI and NLP models to business needs and troubleshoot technical issues.
To be ahead of the pack, you might have:
  • Experience with advanced natural language processing methods such as classification, entity extraction, and summarization.
  • Experience developing traditional machine learning models for supply-chain use cases such as forecasting and inventory reconciliation.
  • Knowledge of linear or mixed-integer optimization techniques.
  • Experience integrating AI solutions across complex customer system landscapes and data sources.
What's in it for you?

Aptean offers competitive pay and robust benefit plans along with the opportunity to grow your career in a fast-paced, flexible and casual environment, an outstanding opportunity for career development and growth.

About Aptean

At Aptean, our mission is to solve tomorrow's unique challenges today with unrivaled, purpose-built software and superior customer experiences from people who care. Aptean is a global provider of mission-critical, industry-specific software solutions. Aptean's purpose-built ERP and supply chain management solutions help address the unique challenges facing process and discrete manufacturers, distributors and other focused organizations. Aptean's compliance solutions are built for companies serving specific markets such as finance, healthcare, biotech and pharmaceuticals, over 10,000 highly specialized organizations in more than 20 industries and 80 countries rely on Aptean to streamline their everyday operations.

"At Aptean, our global and diverse employee base is our greatest asset. It is through embracing and understanding our differences that we are able to harness our individual power to maximize the success of our customers, our employees and our company." – TVN Reddy

Aptean pledges to promote a company culture where diversity, equity and inclusion are central. We are committed to applying this principle as we interact with our customers, build our teams, cultivate our leaders and shape a company in which any employee can succeed, regardless of race, color, sex, national origin, sexuality and gender identity, religion, disability or age. Celebrating our diverse experiences, opinions and beliefs allows us to embrace what makes us unique and to use this as an asset in bringing innovative solutions to our customer base.

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