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Freelance Generative Ai Engineer Jobs (NOW HIRING)

Generative AI Engineer

Atlanta, GA · On-site

$140 - $190/hr

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 ...

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 ...

Generative AI Engineer

Lewisville, TX · On-site

$140 - $190/hr

Position Description We are seeking a Generative AI Engineer to own the hands-on technical delivery of production GenAI systems - from architecture and implementation through deployment, operations ...

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 ...

Senior Azure Generative AI Engineer Dallas TX @Orchard LLC is seeking a Senior Azure Generative AI Engineer to design, develop, and deploy enterprise-grade Generative AI solutions using Microsoft ...

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Freelance Generative Ai Engineer information

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$14

$47

$132

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

As of Aug 15, 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.

Can a freelance generative AI engineer do freelancing?

A freelance generative AI engineer can work independently on projects for clients, often setting their own schedules and rates. Success in freelancing typically requires strong skills in AI, machine learning, and relevant tools like Python and TensorFlow, as well as a portfolio demonstrating expertise. Many freelance AI engineers find opportunities through online platforms and networking.

How much do freelance generative AI engineers make?

Freelance generative AI engineers typically earn between $50 and $150 per hour, depending on experience, project complexity, and client budget. Experienced professionals with specialized skills in machine learning frameworks and large language models can command higher rates, especially for complex or high-demand projects.

What are the key skills and qualifications needed to thrive as a freelance generative AI engineer?

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.
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Infographic showing various Freelance Generative Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

AWS Generative AI Engineer

Lorven Technologies

Charlotte, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Hi
Our client is looking for an AWS Generative AI Engineerproject in Charlotte, NC below is the detailed requirements.
Job Title: AWS Generative AI Engineer
Location: Charlotte, NC
Required Skills: Amazon Bedrock, AWS, Generative AI / LLMs, RAG, LangChain, LangGraph, LlamaIndex
Job description:
  • Bachelor's degree in computer science, Information Technology, or a related field
  • Design and deploy Generative AI solutions using Amazon Bedrock and Anthropic Claude.
  • Build scalable RAG architectures using vector databases and enterprise knowledge sources.
  • Develop AI-powered chatbots, virtual assistants, and intelligent search applications.
  • Implement prompt engineering and model optimization techniques.
  • Integrate foundation models with enterprise applications and AWS services.
  • Develop cloud-native solutions using Lambda, ECS, EKS, S3, and DynamoDB.
  • Build AI workflows using LangChain, LangGraph, and LlamaIndex.
  • Create secure, scalable, and governed AI solutions.
  • Monitor model performance, latency, costs, and compliance.
  • Collaborate with stakeholders to deliver enterprise AI initiatives.

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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