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Online Generative Ai Engineer Jobs (NOW HIRING)

Droisys

Generative AI Engineer

Dallas, TX · On-site

Generative AI EngineerIntroduction: The Generative AI Engineer will be responsible for developing and implementing Generative AI solutions using various technologies such as LLMs, RAG, Prompt ...

XPath Solutions

Generative AI Engineer

Charlotte, NC

$60 - $72/hr

Generative AI Engineer Location Dallas, TX or Charlotte, NC or Raleigh, NC Role Overview We are seeking a highly skilled Generative AI Engineer with a strong Python background to design, develop, and ...

MDAEdge

Generative AI Engineer

Austin, TX · On-site

MDAEdge is a company focusing on innovative AI solutions, and they are seeking a Generative AI Engineer. The role involves developing efficient pipelines for document processing and creating scalable ...

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

... Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM ... through our online learning platform with guided career tracks. Are you ready to power your ...

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

... Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM ... through our online learning platform with guided career tracks. Are you ready to power your ...

Apex Systems

Generative AI Engineer

Jersey City, NJ · On-site

Job#: 3040858 Generative AI Engineer Location: Jersey City, New Jersey (Onsite) Employment Type: Contract Contract Duration: 12 Months Role Overview We are seeking a Generative AI Engineer to execute ...

TekCommands Inc

AWS + Generative AI Engineer

Chicago, IL · On-site

$66.75 - $87.50/hr

We are looking for an experienced AWS + Generative AI Engineer to design and develop secure, scalable, and AI-powered cloud solutions on AWS. The ideal candidate will have expertise in AWS Machine ...

IPolarity LLC

Generative AI Engineer

Whippany, NJ · On-site

$70/hr

Generative AI / LLMs * OpenAI / Azure OpenAI * Google AI Stack (Gemini, Vertex AI) * AI Agents & Copilots * Prompt Engineering * RAG (Retrieval-Augmented Generation) * Workflow Automation ...

Afficiency

Generative AI Engineer

Manhattan, NY · On-site +1

As a Generative AI Engineer at Afficiency, you will be responsible for designing, developing and deploying Generative AI solutions that enhance our core product platforms and client implementations.

Afficiency

Generative AI Engineer

Manhattan, NY · On-site +1

As a Generative AI Engineer at Afficiency, you will be responsible for designing, developing and deploying Generative AI solutions that enhance our core product platforms and client implementations.

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All JobsOnline Generative Ai Engineer Jobs

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 Jul 25, 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 July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.
Generative AI Engineer

Generative AI Engineer

Droisys

Dallas, TX • On-site

Other

Posted 5 days ago

Job description

Generative AI EngineerIntroduction:

The Generative AI Engineer will be responsible for developing and implementing Generative AI solutions using various technologies such as LLMs, RAG, Prompt Engineering, AI Agents, LangChain/LangGraph, Semantic Kernel, and vector databases. The role will involve working on backend development, data engineering, API integration, database design, scalability, security, and performance optimization.

Responsibilities:
  • Build Generative AI solutions using technologies like LLMs, RAG, Prompt Engineering, and LangChain/LangGraph.
  • Develop AI Agents and Semantic Kernels for AI-driven enterprise automation solutions.
  • Work on database design, scalability, security, and performance optimization for AI applications.
  • Create REST APIs and Microservices for backend development using Python, Node.js, and Java.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.
  • Utilize MongoDB and Azure Data Services for data storage and management.
Requirements:Required Skills:
  • Strong experience in building Generative AI solutions.
  • Proficiency in technologies like LangChain, Generative Artificial Intelligence (AI), and Prompt Engineering.
  • Knowledge of MongoDB for data storage.
  • Experience in performance tuning and database design.
  • Understanding of semantics in AI applications.
Preferred Skills:
  • Experience with React, Angular, TypeScript, JavaScript, HTML5, and CSS3.
  • Familiarity with modern UI frameworks.
  • Expertise in Python, ETL, and Azure AI Search.
  • Backend development skills using Python, Node.js, and Java.

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