ZipRecruiter

Log In

1

Generative Ai Developer Jobs (NOW HIRING)

Saransh Inc

Generative AI Architect

Charlotte, NC · On-site

$61.50 - $81/hr

Generative AI Architect Location: Charlotte, NC (Onsite from Day 1) Job Type: Contract Skill ... and prompt engineering frameworks 3. Participate in cross-functional GenAI initiatives and PoC ...

Astra North Infoteck Inc.

$44.75 - $61.75/hr

Role: Generative AI Developer Duration: 12 Months Location: Toronto, ON Work Model: Hybrid ? 2 Days Onsite Weekly Required Skills & Experience * 5+ years of professional experience in software ...

Writer

Software engineer, generative AI

San Francisco, CA · On-site

$111K - $304K/yr

As a software engineer, generative ai at WRITER, you'll be at the forefront of expanding human ... Partner with DevOps teams to build continuous deployment, logging, and monitoring systems that ...

next page

Showing results 1-20

People also search for

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 Jun 18, 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 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.
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 June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $94,200 per year, or $45.3 per hour.

Generative AI Engineer

Prophecy Technologies

Richardson, TX • On-site

Full-time

Posted 9 days ago

Job description

Job Summary
The Generative AI Architect will design, build, and deploy scalable Generative AI solutions leveraging large language models (LLMs), diffusion models, and advanced ML frameworks. This role focuses on architecting secure, high-performance AI platforms on cloud environments and integrating GenAI capabilities into enterprise business workflows.
Experience
  • 8+ years of overall experience in software, data, or machine learning engineering
  • 5+ years of hands-on experience in Machine Learning / AI
  • Strong recent experience in Generative AI and LLM-based solutions

Key Responsibilities
  • Design scalable, modular, and secure Generative AI architectures on AWS, Azure, and GCP
  • Implement data pipelines for training, fine-tuning, and serving large-scale AI models
  • Lead model fine-tuning efforts using custom datasets for domain-specific use cases
  • Develop and optimize prompt engineering strategies for enterprise applications
  • Integrate Generative AI models with APIs, microservices, UIs, and business workflows
  • Optimize inference pipelines for low latency, high throughput, and cost efficiency
  • Implement model versioning, monitoring, rollback, and governance strategies
  • Establish and enforce MLOps best practices, including CI/CD and automated deployments
  • Collaborate with Data Scientists, MLOps Engineers, Product Managers, and business stakeholders
  • Provide technical leadership, conduct code reviews, and promote GenAI best practices
  • Ensure compliance with data privacy, AI ethics, and regulatory standards

Required Skills & Experience
  • Strong experience designing and implementing Generative AI solutions (LLMs, diffusion models)
  • Hands-on expertise in model fine-tuning and prompt engineering
  • Deep knowledge of ML frameworks:
  • TensorFlow
  • PyTorch
  • Hugging Face Transformers
  • OpenAI APIs
  • Strong experience deploying AI solutions on AWS, Azure, and GCP
  • Solid understanding of MLOps, including CI/CD, model versioning, and automation
  • Proficiency in Python programming and scripting
  • Experience with APIs and microservices architectures
  • Experience with vector databases such as Pinecone, Weaviate, or Qdrant
  • Familiarity with GenAI orchestration frameworks (LangChain, LlamaIndex, etc.)
  • Knowledge of distributed training, hyperparameter tuning, and real-time inference systems
  • Strong background in data engineering for large-scale training datasets
  • Understanding of AI ethics, data privacy, and regulatory compliance

Competencies
  • Digital: Generative AI / Large Language Models (LLMs)
  • Digital: Machine Learning & MLOps
  • Digital: Cloud Platforms (AWS, Azure, GCP)
  • Digital: Python & AI Frameworks

Preferred Skills
  • Experience integrating chatbots, virtual assistants, and content automation solutions
  • Exposure to knowledge graphs, embeddings, and semantic search
  • Experience with low-latency inference and real-time serving
  • Contributions to open-source, research publications, or GenAI community

Apply