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Online Generative Ai Engineer Jobs (NOW HIRING)

Prosum Inc.

Generative AI Engineer

Fort Worth, TX · On-site

$120K - $170K/yr

Generative AI Engineer Location: Remote (U.S.) Salary Range: $120k to $170k About the Role We are seeking a highly skilled Generative AI Engineer to lead the end-to-end delivery of production-grade ...

Carlin Shayn Inc

Generative AI Engineer

Phoenix, AZ

Generative AI Engineer (Agentic AI / LLM Solutions) Location: Phoenix, AZ / New York City, NY (Hybrid/Onsite) Duration: 12+ Months Contract Interview Mode: Video Interview Position Overview We are ...

Prophecy Technologies

Generative AI Engineer

Tampa, FL · On-site

The role is for an AI Engineer focused on designing, developing, and implementing machine learning and AI models, particularly Generative AI applications and Agentic AI solutions. The engineer will ...

OpenDataJobs

Senior Generative AI Engineer

Potomac, MD · On-site +1

$57.25 - $73.75/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native ...

OpenDataJobs

Senior Generative AI Engineer

Washington, DC · On-site +1

$62.50 - $80.75/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native ...

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Online Generative Ai Engineer information

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$38K

$115.9K

$191.5K

How much do online generative ai engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for online generative ai engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Online Generative AI Engineer, and why are they important?

To thrive as an Online Generative AI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (e.g., AWS, GCP), and experience with generative models such as GANs or transformers are typically required. Strong problem-solving abilities, creativity, and effective communication skills help engineers design innovative solutions and collaborate with multidisciplinary teams. These skills and qualities are vital for building robust AI systems that meet user needs and drive technological advancement.

What is an Online Generative AI Engineer?

An Online Generative AI Engineer is a specialized software engineer who designs, develops, and deploys artificial intelligence (AI) models that generate new content, such as text, images, or audio, through online platforms or cloud services. They work with cutting-edge generative models like GPT, DALL-E, or diffusion models, and are responsible for integrating these technologies into web applications or online services. Their role often includes building scalable APIs, optimizing models for real-time usage, and ensuring responsible and ethical AI deployment. These engineers typically collaborate with data scientists, product managers, and UX/UI designers to deliver innovative AI-powered user experiences.

How does an Online Generative AI Engineer typically collaborate with cross-functional teams during model development and deployment?

As an Online Generative AI Engineer, you will regularly work with data scientists, product managers, and software engineers to design, train, and deploy AI models. Collaboration often involves participating in sprint meetings, discussing data requirements, integrating models into production systems, and troubleshooting deployment issues. Effective communication is essential, as you'll need to translate complex model behaviors into actionable insights for non-technical stakeholders, and work closely with DevOps teams to ensure reliable and scalable deployment of generative AI solutions.

What is the difference between Online Generative Ai Engineer vs Data Scientist?

AspectOnline Generative Ai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with machine learning and AI frameworksDegree in Statistics, Data Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI startups, research labs; focus on developing AI models and algorithmsBusiness analytics, research, and data analysis teams; focus on data interpretation and insights
Employer & Industry UsagePrimarily in AI development, tech industry, and research institutionsAcross industries like finance, healthcare, marketing, and tech for data-driven decision making

Online Generative Ai Engineers focus on creating and optimizing AI models that generate content, while Data Scientists analyze data to extract insights. Both roles require strong technical skills, but their primary functions differ in application and industry focus.

More about Online Generative Ai Engineer jobs
What cities are hiring for Online Generative Ai Engineer jobs? Cities with the most Online Generative Ai Engineer job openings:
What are the most commonly searched types of Generative Ai Engineer jobs? The most popular types of Generative Ai Engineer jobs are:
What states have the most Online Generative Ai Engineer jobs? States with the most job openings for Online Generative Ai Engineer jobs include:
What job categories do people searching Online Generative Ai Engineer jobs look for? The top searched job categories for Online Generative Ai Engineer jobs are:
Online Generative Ai Engineer jobs near you
Infographic showing various Online Generative Ai Engineer job openings in the United States as of June 2026, with employment types broken down into 63% Full Time, and 37% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.
Generative AI Engineer

Generative AI Engineer

Prosum Inc.

Fort Worth, TX • On-site

$120K - $170K/yr

Full-time

Posted 15 days ago

Job description

Job Description
Generative AI Engineer
Location: Remote (U.S.)
Salary Range: $120k to $170k
About the Role
We are seeking a highly skilled Generative AI Engineer to lead the end-to-end delivery of production-grade AI systems. This role is responsible for designing, building, deploying, and continuously optimizing scalable generative AI solutions that integrate seamlessly with enterprise systems. You will act as a technical authority, shaping best practices and driving innovation across AI initiatives.
What You'll Do
  • Own the full lifecycle of generative AI systems, from architecture and development to deployment, monitoring, and optimization
  • Design and build LLM-powered applications, including agent-based workflows, multi-step RAG pipelines, and enterprise AI solutions
  • Establish and enforce engineering standards across prompt design, orchestration, structured outputs, and workflow lifecycle management
  • Serve as a technical leader for GenAI, guiding architecture decisions and best practices
  • Integrate AI systems with enterprise data, internal APIs, and cloud-native services
  • Evaluate and select models, implement routing strategies, and optimize for latency, cost, and performance
  • Continuously assess emerging AI tools and improve existing systems
  • Own system performance across reliability, scalability, throughput, and cost efficiency
  • Build and maintain observability frameworks (monitoring, tracing, logging, alerting)
  • Design and manage CI/CD pipelines, including versioning and release processes
  • Lead incident response and root cause analysis, implementing long-term fixes
  • Develop evaluation pipelines for LLM outputs, including regression testing and failure analysis
  • Implement safeguards such as human-in-the-loop workflows, schema validation, and output controls
  • Ensure systems are secure against prompt injection, data leakage, and unauthorized access
  • Collaborate with leadership and cross-functional teams to define and execute AI initiatives
  • Provide hands-on technical guidance, mentoring, and code reviews
  • Promote iterative delivery with frequent releases and continuous feedback loops
Required Qualifications
  • Proven experience building and deploying production-grade LLM or generative AI systems
  • Strong expertise in prompt design, orchestration, and model tradeoffs
  • Experience developing evaluation frameworks for AI outputs and validating quality
  • Solid background in distributed systems and production software engineering
  • Experience with CI/CD pipelines, release management, and operational ownership
  • Demonstrated ability to define technical standards and influence architecture decisions
  • Experience with cloud-native systems, APIs, and event-driven architectures (Azure or similar)
  • Experience integrating AI solutions with enterprise data and security requirements
  • Bachelor's degree in a technical field or equivalent practical experience
Preferred Qualifications
  • Experience with advanced RAG pipelines and agent-based AI systems in production
  • Familiarity with cloud AI services and modern infrastructure tooling
  • Experience with Python-based AI frameworks and data pipelines
  • Experience with containerization and deploying AI workloads
  • Knowledge of responsible AI practices and governance
  • Domain experience in areas such as product data, ERP, ecommerce, or analytics platforms

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