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Generative Ai Engineer Internship Jobs (NOW HIRING)

Job#: 3046301 Generative AI Engineer Location: Newark, DE (Hybrid) Employment Type: Contract Contract Duration: 12 Months Role Overview This role involves the design, development, and deployment of ...

Enterprise Generative AI Engineer Location: Charlotte, NC Duration: Contract - 12 months Pay Range: $70.23/hr (W2) Job ID: 409145 About BCforward BCforward is a leading global IT consulting and ...

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Generative AI Engineer - Fremont, CA Location: Fremont, CA | Job Type: Full-Time Required Qualifications * 10+ years of professional full-stack software engineering experience. * Proven experience ...

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#: 3049135 Generative AI Engineer Location: Jersey City, New Jersey (Onsite) Role Overview You will join a team driving innovation in Artificial Intelligence. This position involves building the ...

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 ...

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 ...

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 ...

Generative AI Developer (ID: KK11DR11531) Description: This role focuses on developing and implementing solutions using Generative AI technologies. Responsibilities: * Develop and implement ...

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Generative Ai Engineer Internship information

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

As of Sep 11, 2026, the average hourly pay for generative ai engineer internship in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is a generative AI engineer internship?

A Generative AI Engineer Internship is a temporary position where interns work on developing and optimizing AI models that generate content, such as text, images, or code. Interns typically assist in training, fine-tuning, and testing deep learning models, often using frameworks like TensorFlow or PyTorch. They may also work with large datasets, implement prompt engineering, and collaborate with researchers or engineers. This role provides hands-on experience in machine learning, model deployment, and AI ethics, helping interns build expertise in the field.

What kinds of projects or tasks do generative AI engineer interns typically work on during their internship?

Generative AI Engineer Interns usually contribute to projects involving model architecture development, data preprocessing, and evaluation of generative algorithms for tasks like text, image, or audio synthesis. Interns often collaborate closely with senior engineers and data scientists, participate in code reviews, and assist in optimizing model performance or preparing proofs of concept for new generative applications. You may also be involved in researching state-of-the-art methods and presenting your findings to the team. These experiences offer valuable hands-on exposure and are designed to prepare you for a future full-time role in AI engineering.

What are the key skills and qualifications needed to thrive in the generative AI engineer internship position, and why are they important?

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, deep learning frameworks, and experience with programming languages such as Python. Familiarity with tools like TensorFlow, PyTorch, and version control systems is often expected, and relevant coursework or certifications in AI or data science are advantageous. Strong problem-solving abilities, communication skills, and eagerness to learn help distinguish top candidates in collaborative, fast-paced environments. These skills are vital for effectively developing, testing, and iterating on generative models that address real-world challenges.

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Infographic showing various Generative Ai Engineer Internship job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Senior AI Engineer / Generative AI Engineer

Columbus, OH • On-site

Technumen
11 - 50 employees

$100K - $138K/yr

Contractor

Re-posted 14 days ago


Job description

Senior AI Engineer / Generative AI Engineer
Alpharetta, GA & Columbus, OH (w2/1099 only)
 
Job Description:

We are looking for a talented Senior AI Engineer to design, build, and deploy AI-powered applications and developer tooling. The ideal candidate has hands-on experience with Generative AI, LLMs, AI agents, and modern software engineering. This role involves building production-ready AI solutions, rapidly prototyping new ideas, and collaborating with engineering and product teams.

Responsibilities:
  • Design and develop AI-powered applications using Large Language Models (LLMs)
  • Build AI agents, copilots, and workflow automation solutions
  • Integrate Claude, OpenAI, or other foundation models into enterprise applications
  • Develop scalable backend services using Python and TypeScript
  • Build APIs and AI microservices
  • Implement Retrieval-Augmented Generation (RAG) solutions
  • Create prompt engineering strategies and evaluation pipelines
  • Build developer productivity tools using AI
  • Work with CI/CD pipelines and cloud deployment
  • Collaborate with product managers and engineering teams to deliver AI-enabled features
  • Optimize AI applications for performance, security, and scalability
Required Skills:
  • 7+ years of software engineering experience
  • Strong experience with Python and TypeScript
  • Experience integrating Claude, OpenAI, Gemini, or other LLM APIs
  • Hands-on experience building AI-powered applications
  • Experience with Prompt Engineering
  • Knowledge of AI agents and agent orchestration frameworks
  • REST API and microservices development
  • Git, Docker, CI/CD
  • Cloud experience (AWS, Azure, or GCP)
Preferred Skills:
  • LangChain
  • LangGraph
  • LlamaIndex
  • MCP (Model Context Protocol)
  • Vector Databases (Pinecone, Weaviate, Chroma, Milvus, pgvector)
  • RAG architecture
  • FastAPI
  • React
  • Kubernetes
  • Terraform
  • AI evaluation frameworks
  • Observability tools
  • Knowledge of secure AI development and AI guardrails