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Generative Ai Jobs in Seattle, WA (NOW HIRING)

Applied Scientist In Generative AI Adobe is seeking to add applied scientists in generative AI to our world-class AI platform team. We are specifically looking for scientists with expertise in ...

Applied Scientist In Generative AI Adobe is seeking to add applied scientists in generative AI to our world-class AI platform team. We are specifically looking for scientists with expertise in ...

The Opportunity Adobe is seeking to add Applied Scientists in Generative AI to our world-class AI Platform team. We are specifically looking for scientists with expertise in preparing data, training ...

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Generative Ai information

What is a generative AI?

A Generative AI job involves developing, fine-tuning, or deploying AI models that can create content such as text, images, music, or code. Professionals in this field work with machine learning frameworks, large language models, and neural networks to improve AI-generated outputs. Roles may include AI researchers, machine learning engineers, prompt engineers, or data scientists specializing in generative models. These jobs require expertise in programming (Python, TensorFlow, PyTorch), data processing, and AI ethics.

What does a generative AI specialist do?

A Generative AI Specialist typically focuses on designing, training, and fine-tuning generative models, such as those used for text, image, or audio generation. You may be responsible for researching the latest advancements, preparing datasets, evaluating model performance, and collaborating closely with data engineers, product managers, and software developers to integrate solutions into products. In many organizations, you’ll also participate in brainstorming sessions to explore new applications of generative AI, contribute to technical documentation, and support model monitoring or improvement post-deployment. This role requires a blend of technical expertise and teamwork, offering a dynamic environment where you can have a direct impact on cutting-edge innovation.

Can you get a job with generative AI?

A career in generative AI involves roles such as AI engineer, data scientist, or machine learning specialist, requiring skills in programming, deep learning, and neural networks. Job opportunities are available in tech companies, research labs, and startups, often requiring proficiency with tools like Python, TensorFlow, or PyTorch. Building a strong portfolio and obtaining relevant certifications can improve employment prospects in this rapidly growing field.

What are the key skills and qualifications needed to thrive in the generative AI position?

To thrive as a Generative AI Specialist, you need a strong background in machine learning, deep learning, and natural language processing, often supported by a relevant degree such as computer science or data science. Expertise with frameworks like TensorFlow or PyTorch, proficiency in Python, and knowledge of cloud platforms are commonly expected, with additional certifications in AI or related fields seen as valuable assets. Strong problem-solving abilities, creativity, and effective communication skills set top candidates apart. These skills are crucial for designing, developing, and deploying advanced generative models that address real-world business needs.

Is generative AI a good career?

Generative AI is a rapidly growing field with increasing demand for skilled professionals in areas such as machine learning, data science, and software development. Careers in this area often require knowledge of programming languages like Python, experience with neural networks, and familiarity with AI frameworks such as TensorFlow or PyTorch. The field offers opportunities in research, development, and deployment across various industries, making it a promising career choice for those with relevant technical skills.
What are the most commonly searched types of Generative Ai jobs in Seattle, WA? The most popular types of Generative Ai jobs in Seattle, WA are:
What job categories do people searching Generative Ai jobs in Seattle, WA look for? The top searched job categories for Generative Ai jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Generative Ai jobs? Cities near Seattle, WA with the most Generative Ai job openings:
Infographic showing various Generative Ai job openings in Seattle, WA as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution.

Generative AI Engineer / LLM Engineer

Connexions Data Inc

Seattle, WA • On-site

Other

Posted 17 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