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

Tata Consultancy Services

Gen AI Developer

Seattle, WA · On-site

$57.25 - $78.75/hr

They are seeking a Gen AI Developer to develop and implement generative AI models, optimize RAG pipelines, and work on various NLP tasks. Responsibilities : • Develop and implement generative AI ...

Omni Inclusive

Azure AI Developer

Redmond, WA · On-site

$61.50 - $76.50/hr

The candidate should also possess a deep understanding of security compliance, API development, and generative AI concepts. Hands-on development experience and strong SQL and Azure SQL database ...

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 ...

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How much do generative ai developer jobs pay per hour?

As of Jul 1, 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, and why are they important?

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.

Is generative AI a good career?

Generative AI is a growing field with increasing demand for developers skilled in machine learning, deep learning, and neural networks. Careers in this area often require knowledge of programming languages like Python and familiarity with AI frameworks such as TensorFlow or PyTorch, offering opportunities in technology, research, and industry applications.

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 the salary of a generative AI developer?

The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in deep learning frameworks and large language models can earn higher compensation, often exceeding $180,000. Many positions also offer benefits such as bonuses, stock options, and flexible schedules.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are rare and generally found in top tech companies or specialized AI firms.

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.

Which 3 jobs will survive AI?

For a Generative AI Developer, roles that require complex human judgment, creativity, and emotional intelligence are likely to persist, such as AI ethics specialists, creative professionals, and strategic consultants. These jobs involve nuanced decision-making and interpersonal skills that AI cannot fully replicate. Continuous learning and expertise in AI tools and programming languages will also help ensure job security in this field.
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
Partner Engineer, Generative AI Integration and Distribution

Partner Engineer, Generative AI Integration and Distribution

Meta

Seattle, WA • Remote

$149K/yr

Full-time

Posted 13 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

130th of 202 rated software companies

Job description

We are seeking a Partner Engineer to join Meta’s GenAI Integration and Distribution team, focused on enabling strategic partners to succeed with our generative AI products and platforms. As a GenAI Partner Engineer, you will be a subject matter expert on generative AI and our tool stack, and work closely with external partners to understand their technical requirements, design and ship solutions, and ensure seamless integration with our products. You will be responsible for driving technical engagements, inventing new generative AI assets, building strong relationships with partners, and identifying opportunities to grow partnerships.
Partner Engineer, Generative AI Integration and Distribution Responsibilities:
  • The Partner Engineer role on Meta’s GenAI Integration and Distribution team is a key technical position focused on enabling strategic external partners to successfully leverage Meta's generative AI products and platforms. The person in this role is a subject matter expert in generative AI and Meta's tool stack, responsible for driving technical engagements, understanding partner requirements, and designing and integrating end-to-end AI solutions. This role requires a blend of technical depth, including shipping production-level code and creating technical documentation, and effective interpersonal skills, such as communicating technical concepts to non-technical audiences and aligning cross-functional stakeholders to build productive partner relationships, influence the product roadmap, and resolve complex technical and business challenges. The Partner Engineer will be a core contributor to the Meta AI developer ecosystem, mentoring peers and serving as a domain expert
  • Drive technical engagements with strategic GenAI partners to understand requirements and deliver solutions to complex problems
  • Design, build, and integrate end-to-end generative AI systems and launch-plan strategies to meet the needs of our partners
  • Use a broad range of technical and soft skills to build productive relationships with partners, and independently resolve complex technical and business needs
  • Use expertise and product insight to deliver high-quality project, integration, and partner engagements
  • Work closely with product teams, guide workflow changes, and gain consensus from stakeholders while influencing the product roadmap to meet the business needs
  • Build and manage strong working relationships with partner technical counterparts and internal cross-functional teams
  • Ship production level code, code reviews, and provide constructive feedback while quickly acting on feedback from code reviews conducted on your code
  • Create technical content, tools, and documentation to empower developers and partners
  • Contribute to the Meta AI developer ecosystem, including case studies, online courses, and best practices
  • Influence decision-making through presentation and dissemination of data-centric analyses
  • Serve as a generative AI subject matter expert within the team and provide consultation on domain-level projects
  • Mentor and share knowledge with peers, fostering collaboration and knowledge-sharing within the team
  • Participate in the interviewing and onboarding of new team members

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
  • 5+ years of experience in one or more of the following areas: Software Engineering, Artificial Intelligence, Machine Learning, or a related field
  • Development experience in languages like Python, Java, Go, Rust, C, and C++. (at least one)
  • Experience with generative AI tool stacks including LLMs such as LLaMA, GPT, Claude, etc
  • Experience working with external partners, customers, or stakeholders to understand their technical requirements and deliver solutions
  • Experience with cloud-based technologies, APIs, and data integration
  • Project management experience

Preferred Qualifications:
  • Experience communicating technical concepts to both technical and non-technical stakeholders, and experience analyzing data to inform decisions and solve complex problems
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Knowledge in one or more of the following areas: generative AI, Machine Learning, software development, data processing, programming languages, databases, networking, or operating systems
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$149,000/year to $210,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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