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Generative Ai Developer Jobs in Seattle, WA (NOW HIRING)

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 ...

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 · 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 ...

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All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Seattle, WA

Generative Ai Developer information

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How much do generative ai developer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for generative ai developer in Seattle, WA is $51.57, according to ZipRecruiter salary data. Most workers in this role earn between $26.83 and $62.40 per hour, depending on experience, location, and employer.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are popular job titles related to Generative Ai Developer jobs in Seattle, WA?

For Generative Ai Developer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in Seattle, WA look for?

The top searched job categories for Generative Ai Developer jobs in Seattle, WA are:

Generative Ai Developer jobs near you

Generative AI Engineer / LLM Engineer

Connexions Data Inc

Seattle, WA • On-site

Other

Posted 24 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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