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Assistant Retrieval Augmented Generation Jobs (NOW HIRING)

Additionally, experience in building Retrieval-Augmented Generation (RAG) pipelines for search and chat applications is highly desired. Key Responsibilities: * Develop and optimize NLP models for ...

GPT, Claude • Prompt Engineering • RAG (Retrieval Augmented Generation) • AWS Cloud Good to Have • Data Structures & Algorithms • OOP and modular design • CI/CD pipelines • Postman ...

Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications, supported ...

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

Implement retrieval-augmented generation (RAG) strategies to enhance the context and relevance of generated outputs. * Manage and optimize vector databases for efficient storage and retrieval of data ...

Additionally, experience in building Retrieval-Augmented Generation (RAG) pipelines for search and chat applications is highly desired. Key Responsibilities: * Develop and optimize NLP models for ...

Senior AI Engineer

Hartford, CT · On-site

$55.75 - $71.75/hr

Mandatory Skills Google CCAI (Contact Center AI) Google Vertex AI RAG (Retrieval Augmented Generation) AI/ML Google GCP MLOps Healthcare Payer Cloud AI Platform Summary As an AI engineer, you will be ...

AI Engineer II

Rockville, MD

$99.40K - $136.10K/yr

Architect, develop, and maintain AI-powered applications in Python, including conversational assistants, agentic tools, and retrieval-augmented generation (RAG) systems. * Design and optimize ...

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Agentic Assist: Lead and build next-generation agentic AI systems that augment contact center ... Architect and scale LLM and retrieval-augmented generation pipelines that ground models in ...

Implement Retrieval-Augmented Generation (RAG) architectures and pipelines to leverage proprietary ... Build MCP servers, multi-connectivity enabled and multi-modal Agentic platforms, and AI assistants ...

Data Engineer Profiles: (Gen AI skilled )

Whippany, NJ · On-site

$115.80K - $139K/yr

Build and maintain high-throughput data pipelines, infrastructure, and storage solutions specifically to feed, train, and deploy AI/ML models, implementing RAG (Retrieval-Augmented Generation ...

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How much do assistant retrieval augmented generation jobs pay per hour?

As of May 28, 2026, the average hourly pay for assistant retrieval augmented generation in the United States is $23.17, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $25.96 per hour, depending on experience, location, and employer.

What is the difference between Assistant Retrieval Augmented Generation vs Data Analyst?

AspectAssistant Retrieval Augmented GenerationData Analyst
Required CredentialsKnowledge of AI, NLP, and retrieval systemsBachelor's in Statistics, Data Science, or related fields
Work EnvironmentTech companies, AI development teamsBusiness, finance, healthcare sectors
Industry UsageAI, machine learning, natural language processingData analysis, reporting, decision support

Assistant Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, often requiring expertise in AI and NLP. Data Analysts interpret data to generate insights, primarily using statistical tools. While both roles involve working with data, Assistant Retrieval Augmented Generation is centered on AI model development, whereas Data Analysts focus on data interpretation and reporting.

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Infographic showing various Assistant Retrieval Augmented Generation job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, and 50% Temporary. Highlights an 90% Physical, and 10% Remote job distribution, with an average salary of $48,191 per year, or $23.2 per hour.

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Title: Data Scientist
Location: Virtual
Essential Skill - Elastic Search, Generative AI Fundamentals (Strong), Python for Data Science (Strong), RAG, Vector Illustration
Job Description:
  • Data Scientist with ~6+ years of expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI (GenAI).
  • The ideal candidate will have hands-on experience with search-related work, including relevance tuning, text classification, and topic modeling.
  • Additionally, experience in building Retrieval-Augmented Generation (RAG) pipelines for search and chat applications is highly desired. Key Responsibilities:
  • Develop and optimize NLP models for text classification, text clustering, topic modeling, and relevance tuning in search.
  • Work with LLMs to build advanced generative AI solutions for search and chat applications.
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines to improve search and conversational AI systems.
  • Collaborate with cross-functional teams to deploy data-driven search enhancements and GenAI solutions.
  • Analyze and fine-tune search relevance based on user behavior and search intent from querylog.

Qualifications:
  • Experience in running and fine-tuning models from Hugging face
  • Familiarity with building and deploying RAG pipelines
  • Familiarity with vector databases like Elasticsearch, Pinecone, etc.
  • Strong programming skills (e.g., Python, TensorFlow, PyTorch, SQL)
  • Experience in model deployment & MLOps is a plus
  • Experience with cloud platforms (AWS) is a plus.