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Freelance Generative Ai Engineer Jobs (NOW HIRING)

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 ...

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 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 ...

We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that ...

We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that ...

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 ...

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 ...

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

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.

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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Freelance Generative Ai Engineer information

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How much do freelance generative ai engineer jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for freelance generative ai engineer in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What are the most common challenges faced by freelance Generative AI Engineers when working with clients on custom AI solutions?

Freelance Generative AI Engineers often encounter challenges such as managing client expectations regarding project timelines and the complexity of AI models, especially when clients have limited technical knowledge. Ensuring clear communication about data requirements, model capabilities, and ethical considerations is crucial for successful project delivery. Additionally, freelancers must stay up to date with rapidly evolving AI frameworks and tools while balancing multiple projects and deadlines. Building robust documentation and maintaining transparency throughout the development process can help mitigate misunderstandings and foster long-term client relationships.

What is a Freelance Generative AI Engineer?

A Freelance Generative AI Engineer is a professional who works independently to design, build, and deploy artificial intelligence models that can generate new data, such as text, images, or music. These engineers typically specialize in technologies like generative adversarial networks (GANs), large language models (LLMs), and other machine learning frameworks. They collaborate with clients or companies on a project-by-project basis, offering expertise in AI model development, fine-tuning, and integration. Being freelance, they have the flexibility to work with multiple clients across various industries, including tech, media, and entertainment.

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

To thrive as a Freelance Generative AI Engineer, you need a deep understanding of machine learning, neural networks, and programming languages such as Python, often supported by a degree in computer science or related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms, and experience with AI model deployment are typically required. Strong problem-solving abilities, adaptability, and effective communication help you collaborate with clients and address evolving project needs. These skills are crucial for developing innovative AI solutions, meeting client expectations, and staying competitive in a rapidly changing field.
More about Freelance Generative Ai Engineer jobs
What cities are hiring for Freelance Generative Ai Engineer jobs? Cities with the most Freelance 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 Freelance Generative Ai Engineer jobs? States with the most job openings for Freelance Generative Ai Engineer jobs include:
Infographic showing various Freelance Generative Ai Engineer job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, 22% Part Time, and 11% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $99,230 per year, or $47.7 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.