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Retrieval Augmented Generation Rag Jobs in Snoqualmie, WA

Connexions Data Inc

Gen AI Developer

Seattle, WA · On-site

$57.25 - $78.75/hr

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

Slalom Consulting

General Information

Seattle, WA · On-site

Build advanced retrieval-augmented generation (RAG) systems including vector databases, embedding strategies, chunking optimization, hybrid search, re-ranking, and multi-source data synthesis

Saransh Inc

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

Embedded within the Data & Intelligence organization's Privacy practice, this engineer will apply large language models (LLMs), retrieval-augmented generation (RAG), multi-agent orchestration, and ...

Merican

Sr Full Stack Java Developer

Bellevue, WA · On-site

$59.25 - $76.50/hr

Familiarity with foundation models, prompt engineering, retrieval-augmented generation (RAG), and AI agent development applied to full-stack application development, including enterprise reusable ...

MCG Health

Director, Data Science

Seattle, WA

$201K - $281K/yr

Familiarity with retrieval-augmented generation (RAG), vector databases, and enterprise AI architectures preferred. * Demonstrated ability to influence technical strategy across cross-functional ...

Weyerhaeuser Company

Senior AI Architect

Seattle, WA · On-site

Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A ...

Amazon

Data Scientist, WW Ops FP&A

Bellevue, WA · On-site

... Retrieval-Augmented Generation (RAG) systems and LLM-based solutions to enhance financial knowledge retrieval and decision support Proactively identify and solve challenges related to GenAI solutions ...

Weyerhauser Co

Senior AI Architect

Seattle, WA · On-site

Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A ...

Amazon

Data Scientist, WW Ops FP&A

Bellevue, WA · On-site

... Retrieval-Augmented Generation (RAG) systems and LLM-based solutions to enhance financial knowledge retrieval and decision support Proactively identify and solve challenges related to GenAI solutions ...

SoFi

Senior Staff AI Engineer

Seattle, WA · On-site

$118K - $163K/yr

... retrieval-augmented generation (RAG), and advanced text generation techniques. • Proven experience implementing parameter-efficient fine-tuning (PEFT) techniques (e.g., LoRA) to customize and ...

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All JobsRetrieval Augmented Generation Rag JobsRetrieval Augmented Generation Rag Jobs in Snoqualmie, WA

Retrieval Augmented Generation Rag information

See Snoqualmie, WA salary details

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

As of Jul 26, 2026, the average hourly pay for retrieval augmented generation rag in Snoqualmie, WA is $22.24, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $23.22 per hour, depending on experience, location, and employer.
Retrieval Augmented Generation Rag jobs near you
Infographic showing various Retrieval Augmented Generation Rag job openings in Snoqualmie, WA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $46,259 per year, or $22.2 per hour.
Generative AI Engineer / LLM Engineer

Generative AI Engineer / LLM Engineer

Connexions Data Inc

Seattle, WA • On-site

Other

Posted 3 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

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