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Assistant Retrieval Augmented Generation Jobs in Seattle, WA

This role involves applying large language models, retrieval-augmented generation, multi-agent orchestration, and foundation model capabilities to automate and enhance privacy operations. Requirement ...

Gen AI Developer

Seattle, WA · On-site

$57.25 - $78.75/hr

... RAG (Retrieval-Augmented Generation) techniques. • Strong understanding of natural language processing (NLP). Experience with data preprocessing and model fine-tuning. • Familiarity with ...

New

Work hands-on with agent frameworks, retrieval-augmented generation pipelines, and LLM-powered systems in production. - Entrepreneurial team: We move fast, experiment often, and ship real products ...

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

Develop and operationalize RAG (Retrieval-Augmented Generation) pipelines integrating LLMs (e.g. Claude, Gemini, GPT-4) into production privacy applications. * Implement structured prompting ...

Sr. Machine Learning Engineer - AI

Seattle, WA · On-site

$157.44 - $236.20/hr

Develop and maintain AI-driven search and ranking algorithms for enterprise-scale information retrieval and RAG (Retrieval-Augmented Generation) systems; * Design and maintain data ingestion ...

Senior AI Engineer

Bellevue, WA · On-site

$140 - $190/hr

Retrieval-Augmented Generation (RAG) * LLM-powered applications * Semantic search * Vector databases * Intelligent Document Processing * OCR * Search infrastructure * Knowledge management platforms ...

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Assistant Retrieval Augmented Generation information

See Seattle, WA salary details

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

As of Aug 21, 2026, the average hourly pay for assistant retrieval augmented generation in Seattle, WA is $26.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $29.57 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.

What are popular job titles related to Assistant Retrieval Augmented Generation jobs in Seattle, WA?

For Assistant Retrieval Augmented Generation jobs in Seattle, WA, the most frequently searched job titles are:

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Infographic showing various Assistant Retrieval Augmented Generation job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution, with an average salary of $54,842 per year, or $26.4 per hour.

Generative AI Engineer / LLM Engineer

Connexions Data Inc

Seattle, WA • On-site

Other

Posted 29 days ago


Job description

This is a Generative AI Engineer / LLM Engineer role with a strong focus on RAG (Retrieval-Augmented Generation), NLP, and Python.

They want someone who can:

  • Build Generative AI applications
  • Develop RAG-based chatbots and AI assistants
  • Fine-tune LLMs
  • Work with Python
  • Deploy AI solutions in an Agile environment

Likely experience expected:

  • 8 years in AI/ML
  • 2 4 years specifically in Generative AI or LLMs (depending on the market and client expectations)
Job Description
Must Have Technical/Functional Skills
Experience in executing projects in Agile Framework
Proven experience in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
Strong programming skills in Python and familiarity with libraries such as NumPy, Pandas, and Scikit-learn.
Experience with generative models (e.g., GANs, VAEs, Transformers) and natural language processing.
Proficiency in RAG (Retrieval-Augmented Generation) techniques.
Strong understanding of natural language processing (NLP). Experience with data preprocessing and model fine-tuning.
Familiarity with evaluation metrics for RAG systems.
Knowledge of transformer architectures and training techniques.
Awareness of ethical considerations and bias mitigation strategies.
Understanding of autonomous decision-making algorithms.
Proficiency in the programming language Python.
Strong analytical and problem-solving skills.
Roles & Responsibilities
Qualifications:
Bachelor s or master s degree in computer science, data science or equivalent
Develop and implement generative AI models using frameworks like TensorFlow and PyTorch.
Build and optimize RAG (Retrieval-Augmented Generation) pipelines.
Work on NLP tasks such as text classification, summarization, and conversational AI.
Perform data preprocessing, cleaning, and feature engineering using Python libraries (NumPy, Pandas).
Fine-tune and optimize transformer-based models and LLMs for specific use cases.
Evaluate model performance using RAG and NLP evaluation metrics.
Develop and integrate machine learning models into applications.
Apply autonomous decision-making logic in AI-driven workflows where needed.
Generic Managerial Skills, If any
Good to have Manufacturing domain understanding
Excellent communication
Team collaboration
Documentation and knowledge sharing