Alpharetta, GA · On-site
Enhance AI reasoning and retrieval-augmented generation (RAG) techniques to improve the agent's ability to pull in relevant, up-to-date information. Integrate Google Cloud Functions for seamless ...
Alpharetta, GA · On-site
Enhance AI reasoning and retrieval-augmented generation (RAG) techniques to improve the agent's ability to pull in relevant, up-to-date information. Integrate Google Cloud Functions for seamless ...
Atlanta, GA · On-site
... retrieval-augmented generation, prompt design, and session management. • Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker), and CI/CD pipelines. • Strong problem ...
Atlanta, GA · On-site
... retrieval-augmented generation, prompt design, and session management. • Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker), and CI/CD pipelines. • Strong problem ...
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 ...
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 ...
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 ...
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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 ...
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 ...
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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 ...
Implement Retrieval-Augmented Generation (RAG), embedding pipelines, chunking strategies, reranking, and grounding techniques. * Work with OpenAI SDK and other LLM providers (Anthropic, Azure OpenAI ...
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Implement Retrieval-Augmented Generation (RAG), embedding pipelines, chunking strategies, reranking, and grounding techniques. * Work with OpenAI SDK and other LLM providers (Anthropic, Azure OpenAI ...
Alpharetta, GA · On-site
$111K - $134K/yr
Leveraging Snowflake Cortex, Snowpark, and AI coding assistants, you will build Retrieval-Augmented Generation (RAG) pipelines, semantic layers, and vector search capabilities that power our ...
Alpharetta, GA · On-site
$111K - $134K/yr
Leveraging Snowflake Cortex, Snowpark, and AI coding assistants, you will build Retrieval-Augmented Generation (RAG) pipelines, semantic layers, and vector search capabilities that power our ...
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 ...
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 ...
This role will focus on Retrieval-Augmented Generation, multi-agent systems, natural language processing, model deployment, and cloud-based AI solutions. The ideal candidate will have strong software ...
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This role will focus on Retrieval-Augmented Generation, multi-agent systems, natural language processing, model deployment, and cloud-based AI solutions. The ideal candidate will have strong software ...
Atlanta, GA · Hybrid
$58 - $60/hr
Prompt Engineering & RAG Implementation Leverage prompt engineering and Retrieval-Augmented Generation (RAG) to improve contextual accuracy and relevance of model outputs. * Stakeholder Collaboration ...
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Atlanta, GA · Hybrid
$58 - $60/hr
Prompt Engineering & RAG Implementation Leverage prompt engineering and Retrieval-Augmented Generation (RAG) to improve contextual accuracy and relevance of model outputs. * Stakeholder Collaboration ...
Atlanta, GA · On-site
$110K/yr
This position integrates cutting-edge technologies-including AI agents, retrieval-augmented generation (RAG), and large language models (LLMs)-to enable dynamic interaction with structured and ...
Atlanta, GA · On-site
$110K/yr
This position integrates cutting-edge technologies-including AI agents, retrieval-augmented generation (RAG), and large language models (LLMs)-to enable dynamic interaction with structured and ...
Duluth, GA · On-site
Retrieval-Augmented Generation (RAG) * Agentic AI frameworks * Machine Learning and Deep Learning * NLP and/or Computer Vision * Strong experience with Python, SQL, Spark , and modern data ...
Duluth, GA · On-site
Retrieval-Augmented Generation (RAG) * Agentic AI frameworks * Machine Learning and Deep Learning * NLP and/or Computer Vision * Strong experience with Python, SQL, Spark , and modern data ...
This role will focus on Retrieval-Augmented Generation, multi-agent systems, natural language processing, model deployment, and cloud-based AI solutions. The ideal candidate will have strong software ...
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This role will focus on Retrieval-Augmented Generation, multi-agent systems, natural language processing, model deployment, and cloud-based AI solutions. The ideal candidate will have strong software ...
Atlanta, GA · Hybrid
$58/hr
Design and implement advanced architectures such as Retrieval-Augmented Generation (RAG) . * Model Deployment & MLOps * Use Vertex AI Pipelines , Model Registry , and Prediction Services to deploy ...
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Atlanta, GA · Hybrid
$58/hr
Design and implement advanced architectures such as Retrieval-Augmented Generation (RAG) . * Model Deployment & MLOps * Use Vertex AI Pipelines , Model Registry , and Prediction Services to deploy ...
Architect and maintain advanced Retrieval-Augmented Generation (RAG) pipelines that feed highly relevant, real-time enterprise context to foundation models. * Implement and manage stateful memory ...
Architect and maintain advanced Retrieval-Augmented Generation (RAG) pipelines that feed highly relevant, real-time enterprise context to foundation models. * Implement and manage stateful memory ...
Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models to ground agents in enterprise data. * Integrate Large Language Models-Anthropic Claude ...
Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models to ground agents in enterprise data. * Integrate Large Language Models-Anthropic Claude ...
Alpharetta, GA · On-site
... Retrieval-Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior. • Collaborate closely with GenAI engineers, application teams, MLOps, product ...
Alpharetta, GA · On-site
... Retrieval-Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior. • Collaborate closely with GenAI engineers, application teams, MLOps, product ...
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 ...
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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 ...
Atlanta, GA · On-site
$52.50 - $69.25/hr
Familiarity with prompt engineering, retrieval-augmented generation, knowledge grounding, agent orchestration, evaluation, and responsible AI practices. Experience supporting reporting automation ...
Atlanta, GA · On-site
$52.50 - $69.25/hr
Familiarity with prompt engineering, retrieval-augmented generation, knowledge grounding, agent orchestration, evaluation, and responsible AI practices. Experience supporting reporting automation ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
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.
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.
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.
The most popular types of Retrieval Augmented Generation jobs in Atlanta, GA are:
For Retrieval Augmented Generation jobs in Atlanta, GA, the most frequently searched job titles are:
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Full-time
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