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Gen Ai Developer Jobs in Bothell, WA (NOW HIRING)

Connexions Data Inc

Gen AI Developer

Seattle, WA · On-site

$57.25 - $78.75/hr

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 ...

Amazon

Senior SDE, Luna Gen AI

Seattle, WA

$139K - $183K/yr

We are seeking a Senior Software Development Engineer to join our Gen AI & Strategic Initiatives team that spans our Amazon Luna business. You will be a critical early member as we drive towards two ...

Amazon

Senior SDE, Luna Gen AI

Seattle, WA · On-site

$139K - $183K/yr

We are seeking a Senior Software Development Engineer to join our Gen AI & Strategic Initiatives team that spans our Amazon Luna business. You will be a critical early member as we drive towards two ...

Amazon

Senior SDE, Luna Gen AI

Seattle, WA · On-site

$139K - $183K/yr

We are seeking a Senior Software Development Engineer to join our Gen AI & Strategic Initiatives team that spans our Amazon Luna business. You will be a critical early member as we drive towards two ...

Deloitte

Oracle Gen AI Manager

Seattle, WA

Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ... Work you'll do As an Oracle Gen AI Architect Manager on the Oracle team, you will translate ...

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Gen Ai Developer information

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How much do gen ai developer jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for gen ai developer in Bothell, WA is $50.63, according to ZipRecruiter salary data. Most workers in this role earn between $26.35 and $61.25 per hour, depending on experience, location, and employer.

What is a Gen AI Developer?

A Gen AI Developer is a professional who designs, builds, and deploys applications using generative artificial intelligence models, such as large language models (LLMs) or image generators. They work with AI frameworks and APIs to create solutions that can generate text, images, code, or other content based on user input. Gen AI Developers often need skills in programming, machine learning, and prompt engineering, and they play a key role in building innovative AI-powered applications across various industries.

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

AspectGen Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, research labs focusing on generative AITech firms, data-driven companies, research institutions working on ML models
Employer & Industry UsagePrimarily in AI development, focusing on generative models and AI applicationsBroader industry use, including predictive modeling, data analysis, and automation

While both roles involve AI and machine learning skills, Gen AI Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a wide range of ML algorithms for various applications. The roles often overlap but differ in focus and project types.

What are the key skills and qualifications needed to thrive as a Gen AI Developer, and why are they important?

To thrive as a Gen AI Developer, you need a strong background in computer science, machine learning, and deep learning frameworks, often supported by a degree in a related field. Proficiency with tools such as Python, TensorFlow or PyTorch, and experience with cloud platforms like AWS or Azure, as well as relevant certifications, are commonly required. Critical thinking, creativity, and effective communication are essential soft skills for solving complex problems and collaborating with cross-functional teams. These competencies are vital for developing innovative AI solutions that drive business value and maintain technological competitiveness.

What are some common challenges Gen AI Developers face when deploying models into production environments?

Gen AI Developers often encounter challenges such as ensuring model scalability, maintaining data privacy, and managing high computational requirements when deploying generative AI models. Integrating models with existing systems and monitoring for model drift or bias are also critical concerns. Close collaboration with DevOps, data engineering, and security teams is essential to build robust deployment pipelines and maintain reliable performance in real-world applications.
What are popular job titles related to Gen Ai Developer jobs in Bothell, WA? For Gen Ai Developer jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Gen Ai Developer jobs in Bothell, WA look for? The top searched job categories for Gen Ai Developer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Gen Ai Developer jobs? Cities near Bothell, WA with the most Gen Ai Developer job openings:
Gen Ai Developer jobs near you
Infographic showing various Gen Ai Developer job openings in Bothell, WA as of July 2026, with employment types broken down into 63% Full Time, and 37% Contract. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $105,304 per year, or $50.6 per hour.
Gen AI Developer

Gen AI Developer

Connexions Data Inc

Seattle, WA • On-site

$57.25 - $78.75/hr

Other

Posted 11 days ago

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 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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