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Apprentice Generative Ai Engineer Jobs in Seattle, WA

Elevance Health

Distinguished AI Engineer

Seattle, WA · On-site +1

... generative AI, and AI agents. This role is for a senior technical expert who can directly develop ... Mentor junior AI engineers and elevate the broader organization's AI engineering capabilities

Elevance Health

Distinguished AI Engineer

Seattle, WA · On-site +1

... generative AI, and AI agents. This role is for a senior technical expert who can directly develop ... Mentor junior AI engineers and elevate the broader organization's AI engineering capabilities

Team Red Dog

AI Prompt Engineer

Redmond, WA · On-site

This upcoming fully remote role will support enterprise AI initiatives focused on conversational AI, generative AI experiences, prompt engineering, and intelligent automation solutions across ...

Team Red Dog

AI Prompt Engineer

Redmond, WA · Remote

This upcoming fully remote role will support enterprise AI initiatives focused on conversational AI, generative AI experiences, prompt engineering, and intelligent automation solutions across ...

ZS

Lead AI Engineer

Bellevue, WA · On-site

$155K - $167K/yr

Research and prototype cutting-edge approaches in Generative AI and share learnings with the team ... Prompt engineering expertise * Embeddings and vector search * Experienced in backend API design ...

1 point system

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

Requirement - AI Engineer - Machine Learning 3 Location- Redmond, WA 98052-Remote Contract W2 Title ... Experience with foundation models, generative AI, research-driven development, and rapid ...

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All JobsApprentice Generative Ai Engineer JobsApprentice Generative Ai Engineer Jobs in Seattle, WA

Apprentice Generative Ai Engineer information

See Seattle, WA salary details

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$20

$27

How much do apprentice generative ai engineer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for apprentice generative ai engineer in Seattle, WA is $20.93, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $24.90 per hour, depending on experience, location, and employer.

What is the difference between Apprentice Generative Ai Engineer vs Junior Data Scientist?

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

What are the most commonly searched types of Generative Ai Engineer jobs in Seattle, WA? The most popular types of Generative Ai Engineer jobs in Seattle, WA are:
What are popular job titles related to Apprentice Generative Ai Engineer jobs in Seattle, WA? For Apprentice Generative Ai Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Apprentice Generative Ai Engineer jobs in Seattle, WA look for? The top searched job categories for Apprentice Generative Ai Engineer jobs in Seattle, WA are:
Apprentice Generative Ai Engineer jobs near you
Infographic showing various Apprentice Generative Ai Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $43,526 per year, or $20.9 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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