ZipRecruiter

Log In

1

Generative Ai Developer Jobs (NOW HIRING)

cyberThink, Inc.

AI/ML Engineer

Ann Arbor, MI · On-site

... AI Developer Position Summary: We are seeking a Mid-Level AI Engineer to design, develop, and ... Build and integrate Generative AI solutions using large language models (LLMs). * Develop AI agents ...

Elliot Partnership

AI Developer (Gen AI)

New York, NY · On-site

* Senior Software Engineer - Generative AI (Applied AI & Engineering) * New York City (Hybrid - 3 days a week in-office) * Generous compensation Are you a hands-on builder with a first-principles ...

Hearst

Senior Engineer, Generative AI

New York, NY · On-site

$114K - $157K/yr

We are seeking a dynamic and innovative Senior Generative AI Engineer to join our team, reporting directly to Hearst's Chief Product & AI Strategist. This role sits at the intersection of software ...

Booz Allen Hamilton

Generative AI Engineer

Ashburn, VA · On-site

$99K - $225K/yr

Generative AI Engineer The Opportunity : As an experienced engineer, you know that artificial intelligence (AI), particularly generative AI and large language models (LLMs), has begun transforming ...

RiseIT Solutions

Generative AI Architect

Cleveland, OH · On-site

$61 - $80.25/hr

Generative AI Architect Location : Cleveland, OH (Onsite) Job Responsibilities: • Design and own the end-to-end architecture for GenAI-powered product features. • Guide engineering teams on best ...

Capco

AI DevOps Engineer (AWS)

Orlando, FL · On-site

$49.25 - $67.50/hr

AI DevOps Engineer (AWS) Location: Orlando, FL (Hybrid) | Practice Area: Technology & Engineering ... Experience supporting Generative AI, Large Language Models (LLMs), MLOps, MLflow, SageMaker ...

New

next page

Showing results 1-20

All JobsGenerative Ai Developer Jobs

Generative Ai Developer information

See salary details

$18

$45

$100

How much do generative ai developer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for generative ai developer in the United States is $45.29, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $54.81 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 rapidly growing field with high demand for skilled developers who can create and optimize AI models using tools like deep learning frameworks. Careers in this area often require knowledge of machine learning, programming, and data handling, offering opportunities in tech companies, research, and startups. The field provides competitive salaries and continuous learning opportunities due to its evolving nature.

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 set. Senior developers with expertise in machine learning frameworks and deep learning may earn higher compensation, especially in tech hubs or companies with advanced AI projects.

What does a generative AI developer do?

A generative AI developer designs and builds algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, train models on large datasets, and optimize algorithms for performance and accuracy, often using tools like Python and TensorFlow or PyTorch.

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 common in top tech companies or specialized AI firms for highly skilled professionals.

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.
More about Generative Ai Developer jobs
What cities are hiring for Generative Ai Developer jobs? Cities with the most Generative Ai Developer job openings:
What states have the most Generative Ai Developer jobs? States with the most job openings for Generative Ai Developer jobs include:
What job categories do people searching Generative Ai Developer jobs look for? The top searched job categories for Generative Ai Developer jobs are:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $94,200 per year, or $45.3 per hour.
ML Engineer - Generative AI

ML Engineer - Generative AI

Dream Technologies Inc

San Francisco, CA • On-site

Full-time

Re-posted 25 days ago

Job description

We are looking for a Generative AI engineer to work on the full lifecycle of novel spatial generative AI model development, defining the correct frame of an inference problem, structuring image-based training data into usable formats, training and testing models, deploying performant systems into our production architecture stack.
Upcoming Challenges
  • Generate high quality renovation and home design layouts using state-of-the-art generative models.
  • Build a model that adapts to user feedback and suggests home design tailored to user preferences.
  • Define required datasets and work with labeling agencies to generate high quality data.
  • Deploy models to production environments and iterate with real users on real-world problems.

What we Require
  • MS in Computer Science with a focus or specialty in Machine Learning
  • 2+ Years of experience training and deploying real-world AI . Deep understanding of model architectures, training pipelines, and evaluation methodologies.
  • Creativity and technical depth to explore, evaluate, and iterate on different machine learning approaches
  • Scrappiness and speed in getting models built and tested under real-world constraints.
  • Strong background in algorithms, data structures, and mathematics, with the ability to design performant solutions to spatial and generative problems.
  • Proficiency in Python, with a strong preference for experience using NumPy and PyTorch.

Apply