Reston, VA · On-site
$108K - $149K/yr
Implement Retrieval Augmented Generation (RAG) solutions using vector databases (pgvector, Pinecone, Weaviate). Perform data analysis, preparation, and curation to build high-quality datasets for AI ...
Reston, VA · On-site
$108K - $149K/yr
Implement Retrieval Augmented Generation (RAG) solutions using vector databases (pgvector, Pinecone, Weaviate). Perform data analysis, preparation, and curation to build high-quality datasets for AI ...
Richmond, VA · On-site +1
Experience developing Retrieval-Augmented Generation (RAG) systems, semantic search, vector databases, embeddings, and prompt engineering techniques highly preferred. * Experience designing and ...
Richmond, VA · On-site +1
Experience developing Retrieval-Augmented Generation (RAG) systems, semantic search, vector databases, embeddings, and prompt engineering techniques highly preferred. * Experience designing and ...
Reston, VA · On-site
Build Retrieval-Augmented Generation (RAG) solutions using vector databases. * Design cloud-native AI solutions using Amazon Bedrock / Amazon SageMaker * Develop autonomous AI agents using: LangChain ...
Reston, VA · On-site
Build Retrieval-Augmented Generation (RAG) solutions using vector databases. * Design cloud-native AI solutions using Amazon Bedrock / Amazon SageMaker * Develop autonomous AI agents using: LangChain ...
Richmond, VA · On-site +1
Experience developing Retrieval-Augmented Generation (RAG) systems, semantic search, vector databases, embeddings, and prompt engineering techniques highly preferred. * Experience designing and ...
Richmond, VA · On-site +1
Experience developing Retrieval-Augmented Generation (RAG) systems, semantic search, vector databases, embeddings, and prompt engineering techniques highly preferred. * Experience designing and ...
$110K - $144K/yr
Experience building Retrieval-Augmented Generation (RAG) pipelines and working with vector databases (pgvector, Qdrant, Weaviate). * Experience with LLM gateway tools such as LiteLLM.
New
Quick apply
$110K - $144K/yr
Experience building Retrieval-Augmented Generation (RAG) pipelines and working with vector databases (pgvector, Qdrant, Weaviate). * Experience with LLM gateway tools such as LiteLLM.
New
Arlington, VA · On-site
$66 - $84/hr
Utilize Retrieval-Augmented Generation (RAG) for advanced AI functionalities * Work with Milvus, Qdrant, and Pinecone for efficient data storage and retrieval * Integrate LLM (Large Language Model ...
Arlington, VA · On-site
$66 - $84/hr
Utilize Retrieval-Augmented Generation (RAG) for advanced AI functionalities * Work with Milvus, Qdrant, and Pinecone for efficient data storage and retrieval * Integrate LLM (Large Language Model ...
$80K - $92K/yr
The researcher will work with a multi-terabyte curated literature database, develop and evaluate NLP models, build retrieval-augmented generation (RAG) pipelines, and contribute to a federated ...
Quick apply
$80K - $92K/yr
The researcher will work with a multi-terabyte curated literature database, develop and evaluate NLP models, build retrieval-augmented generation (RAG) pipelines, and contribute to a federated ...
Mclean, VA · On-site
... Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows • Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations • ...
Mclean, VA · On-site
... Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows • Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations • ...
RAG (Retrieval-Augmented Generation) * Prompt engineering * Vector databases (design/usage/integration) * Model build + deployment * GenAI model build: training, fine-tuning, validation * Model ...
RAG (Retrieval-Augmented Generation) * Prompt engineering * Vector databases (design/usage/integration) * Model build + deployment * GenAI model build: training, fine-tuning, validation * Model ...
RAG (Retrieval-Augmented Generation) * Prompt engineering * Vector databases (design/usage/integration) * Model build + deployment * GenAI model build: training, fine-tuning, validation * Model ...
RAG (Retrieval-Augmented Generation) * Prompt engineering * Vector databases (design/usage/integration) * Model build + deployment * GenAI model build: training, fine-tuning, validation * Model ...
RAG (Retrieval-Augmented Generation) * Prompt engineering * Vector databases (design/usage/integration) * Model build + deployment * GenAI model build: training, fine-tuning, validation * Model ...
RAG (Retrieval-Augmented Generation) * Prompt engineering * Vector databases (design/usage/integration) * Model build + deployment * GenAI model build: training, fine-tuning, validation * Model ...
Fairfax, VA · On-site
$125K - $160K/yr
Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). * Design experiments to evaluate generative model behavior (e.g ...
Fairfax, VA · On-site
$125K - $160K/yr
Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). * Design experiments to evaluate generative model behavior (e.g ...
Mclean, VA · On-site +1
$125K - $160K/yr
Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). * Design experiments to evaluate generative model behavior (e.g ...
Mclean, VA · On-site +1
$125K - $160K/yr
Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). * Design experiments to evaluate generative model behavior (e.g ...
Herndon, VA · On-site
Design and optimize Retrieval-Augmented Generation (RAG) pipelines for performance and scalability * Implement AI governance frameworks, including security guardrails and cost optimization strategies
Herndon, VA · On-site
Design and optimize Retrieval-Augmented Generation (RAG) pipelines for performance and scalability * Implement AI governance frameworks, including security guardrails and cost optimization strategies
Herndon, VA · On-site
$160K - $170K/yr
Build scalable LLM-based solutions, AI agents, and Retrieval-Augmented Generation (RAG) applications. Integrate AI capabilities into enterprise software and existing systems. Develop and optimize ...
New
Herndon, VA · On-site
$160K - $170K/yr
Build scalable LLM-based solutions, AI agents, and Retrieval-Augmented Generation (RAG) applications. Integrate AI capabilities into enterprise software and existing systems. Develop and optimize ...
New
Mclean, VA · On-site +1
$125K - $160K/yr
Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). * Design experiments to evaluate generative model behavior (e.g ...
Mclean, VA · On-site +1
$125K - $160K/yr
Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). * Design experiments to evaluate generative model behavior (e.g ...
$125K - $160K/yr
Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). * Design experiments to evaluate generative model behavior (e.g ...
$125K - $160K/yr
Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). * Design experiments to evaluate generative model behavior (e.g ...
$125K - $160K/yr
Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). * Design experiments to evaluate generative model behavior (e.g ...
$125K - $160K/yr
Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). * Design experiments to evaluate generative model behavior (e.g ...
$125K - $160K/yr
Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). * Design experiments to evaluate generative model behavior (e.g ...
$125K - $160K/yr
Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). * Design experiments to evaluate generative model behavior (e.g ...
Fairfax, VA · On-site
$125K - $160K/yr
Identify , clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG) . * Design experiments to evaluate generative model behavior (e ...
Fairfax, VA · On-site
$125K - $160K/yr
Identify , clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG) . * Design experiments to evaluate generative model behavior (e ...
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.
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.
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.
Job Title : Senior GenAI Engineer
Sourced by ZipRecruiter
It services
51 - 200 Employees
McLean, VA, US
1999
