Boston, MA · On-site
$32 - $35/hr
LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...
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Boston, MA · On-site
$32 - $35/hr
LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...
Boston, MA · On-site
$30 - $35/hr
LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...
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Boston, MA · On-site
$30 - $35/hr
LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...
Boston, MA · On-site
$124K - $149K/yr
LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...
Quick apply
Boston, MA · On-site
$124K - $149K/yr
LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...
Boston, MA · On-site
$35 - $45/hr
Experience in RAG (Retrieval-Augmented Generation) implementations. * Knowledge of MLOps tools and CI/CD pipelines. * Experience with Databricks and Apache Spark. Technical Skills * Python * SQL
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Boston, MA · On-site
$35 - $45/hr
Experience in RAG (Retrieval-Augmented Generation) implementations. * Knowledge of MLOps tools and CI/CD pipelines. * Experience with Databricks and Apache Spark. Technical Skills * Python * SQL
Milford, MA · On-site
$60.50 - $83/hr
Retrieval-Augmented Generation (RAG) * ASR frameworks: OpenAI Whisper, Meta Wave2Vec-BERT * Hugging Face exporters and Swift-based transformer tooling * Accent-adaptive tuning and speech ...
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Milford, MA · On-site
$60.50 - $83/hr
Retrieval-Augmented Generation (RAG) * ASR frameworks: OpenAI Whisper, Meta Wave2Vec-BERT * Hugging Face exporters and Swift-based transformer tooling * Accent-adaptive tuning and speech ...
Boston, MA · On-site
$57 - $73.50/hr
Familiarity with Retrieval-Augmented Generation (RAG) patterns, embedding models, vector databases, and semantic search techniques to ground AI outputs in enterprise content. Experience working with ...
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Boston, MA · On-site
$57 - $73.50/hr
Familiarity with Retrieval-Augmented Generation (RAG) patterns, embedding models, vector databases, and semantic search techniques to ground AI outputs in enterprise content. Experience working with ...
Boston, MA · On-site
$129K - $193K/yr
Deep understanding of the AI Agent paradigm, including hands-on experience with LLMs, prompt engineering, agentic loop design, and retrieval-augmented generation (RAG). * Experience driving ...
Boston, MA · On-site
$129K - $193K/yr
Deep understanding of the AI Agent paradigm, including hands-on experience with LLMs, prompt engineering, agentic loop design, and retrieval-augmented generation (RAG). * Experience driving ...
Boston, MA · On-site
$111K - $146K/yr
Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt ...
Boston, MA · On-site
$111K - $146K/yr
Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt ...
$124K - $170K/yr
Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt ...
$124K - $170K/yr
Hands-on expertise developing Retrieval-Augmented Generation (RAG) solutions, including embeddings, semantic search, knowledge grounding, context engineering, prompt optimization, and prompt ...
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 ...
Boston, MA · On-site
$129K - $193K/yr
Deep understanding of the AI Agent paradigm, including hands-on experience with LLMs, prompt engineering, agentic loop design, and retrieval-augmented generation (RAG). * Experience driving ...
Boston, MA · On-site
$129K - $193K/yr
Deep understanding of the AI Agent paradigm, including hands-on experience with LLMs, prompt engineering, agentic loop design, and retrieval-augmented generation (RAG). * Experience driving ...
Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. * Build multimodal AI workflows ...
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Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. * Build multimodal AI workflows ...
Retrieval-augmented generation, embeddings, and vector stores * MCP and A2A protocols * REST APIs and service integration * Webhooks and event-driven integration patterns * Enterprise application ...
Retrieval-augmented generation, embeddings, and vector stores * MCP and A2A protocols * REST APIs and service integration * Webhooks and event-driven integration patterns * Enterprise application ...
Retrieval-augmented generation, embeddings, and vector stores * MCP and A2A protocols * REST APIs and service integration * Webhooks and event-driven integration patterns * Enterprise application ...
Retrieval-augmented generation, embeddings, and vector stores * MCP and A2A protocols * REST APIs and service integration * Webhooks and event-driven integration patterns * Enterprise application ...
Boston, MA · On-site
$70 - $110/hr
Build retrieval-augmented generation (RAG) systems using Azure AI Search, Amazon Kendra, or vector databases like Pinecone, Weaviate, or FAISS. * Deploy and manage models on Azure Machine Learning ...
Boston, MA · On-site
$70 - $110/hr
Build retrieval-augmented generation (RAG) systems using Azure AI Search, Amazon Kendra, or vector databases like Pinecone, Weaviate, or FAISS. * Deploy and manage models on Azure Machine Learning ...
Boston, MA · Hybrid
$133K - $175K/yr
Experience with LLMs, prompt engineering, or RAG (Retrieval-Augmented Generation) systems * Familiarity with MLflow, Weights & Biases, or other ML lifecycle management tools * AWS Certification ...
Boston, MA · Hybrid
$133K - $175K/yr
Experience with LLMs, prompt engineering, or RAG (Retrieval-Augmented Generation) systems * Familiarity with MLflow, Weights & Biases, or other ML lifecycle management tools * AWS Certification ...
Develop AI/LLM-powered solutions : architect and implement AI-first analyses and tooling using large language models, prompt engineering, retrieval-augmented generation (RAG), and related techniques ...
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Develop AI/LLM-powered solutions : architect and implement AI-first analyses and tooling using large language models, prompt engineering, retrieval-augmented generation (RAG), and related techniques ...
Support development of solutions leveraging large language models, retrieval-augmented generation, workflow automation, APIs, and enterprise data services * Analyze existing systems, data flows, and ...
Support development of solutions leveraging large language models, retrieval-augmented generation, workflow automation, APIs, and enterprise data services * Analyze existing systems, data flows, and ...
Support development of solutions leveraging large language models, retrieval-augmented generation, workflow automation, APIs, and enterprise data services * Analyze existing systems, data flows, and ...
Support development of solutions leveraging large language models, retrieval-augmented generation, workflow automation, APIs, and enterprise data services * Analyze existing systems, data flows, and ...
$115K - $138K/yr
Develop and optimize pipelines for structured, semi-structured, and unstructured data to support GenAI use cases such as semantic search, document intelligence, and retrieval-augmented generation ...
$115K - $138K/yr
Develop and optimize pipelines for structured, semi-structured, and unstructured data to support GenAI use cases such as semantic search, document intelligence, and retrieval-augmented generation ...
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.
Sourced by ZipRecruiter
It services
11 - 50 Employees
Lewes, DE, US
2013
