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Internship Generative Ai Prompt Engineer Jobs (NOW HIRING)

Carlin Shayn Inc

Generative AI Engineer

Phoenix, AZ

Generative AI Engineer (Agentic AI / LLM Solutions) Location: Phoenix, AZ / New York City, NY ... Create robust prompt engineering, context engineering, and evaluation frameworks to improve model ...

Cantina

Prompt Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

As a Prompt Engineer at Cantina Labs, you will operate at the frontier of social generative AI-shaping how millions of users experience storytelling, and connection through AI characters. You'll ...

Internet Brands

Prompt Engineer

El Segundo, CA · On-site

$60K - $105K/yr

... and Generative AI; demonstrated expertise in prompt engineering * Hands-on experience with tool-calling patterns, function routing, and structured output formatting in the context of agent ...

Internet Brands

Prompt Engineer

El Segundo, CA

$60K - $105K/yr

... and Generative AI; demonstrated expertise in prompt engineering * Hands-on experience with tool-calling patterns, function routing, and structured output formatting in the context of agent ...

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 ... Establish and enforce engineering standards across prompt design, orchestration, structured outputs ...

Programmers.io

Senior Generative AI Developer

Irving, TX · On-site

$116K - $157K/yr

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge ... Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, and model evaluation.

Cognizant Technology Solutions

Prompt Engineer

Norfolk, VA · On-site

$95K - $130K/yr

Prompt Engineer About the Role As a Prompt Engineer (LLM / Generative AI) , you will make an impact by designing and delivering intelligent AI-powered solutions using large language models. You will ...

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Internship Generative Ai Prompt Engineer information

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

As of Jun 12, 2026, the average hourly pay for internship generative ai prompt engineer 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 the difference between Internship Generative Ai Prompt Engineer vs Data Analyst?

AspectInternship Generative Ai Prompt EngineerData Analyst
Required CredentialsRelevant coursework, basic understanding of AI and NLPBachelor's in Data Science, Statistics, or related field
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, or tech industries
Employer & Industry UsageAI development, NLP projects, prompt optimizationData collection, analysis, reporting, visualization

While both roles involve working with data and technology, the Internship Generative Ai Prompt Engineer focuses on designing prompts for AI models, whereas a Data Analyst interprets data to inform business decisions. The prompt engineer role emphasizes AI and NLP skills, often in tech environments, while data analysts work across various industries analyzing datasets for insights.

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Internship Generative Ai Prompt Engineer jobs near you
Infographic showing various Internship Generative Ai Prompt Engineer job openings in the United States as of June 2026, with employment types broken down into 71% Full Time, 21% Part Time, and 8% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Senior Generative AI Engineer

SBT Global, Inc.

Ridgefield Park, NJ

Full-time

Posted 2 days ago

Job description

Company Description

On-Site

1yr contract

$10950/month

About the Role

We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure.

You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value.

Job Description
  • Design and develop algorithms for generative models using deep learning techniques
  • Design and build LLM-powered applications for internal and/or customer-facing use cases
  • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems
  • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration
  • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate
  • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability
  • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies
  • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices
  • Build monitoring, observability, and feedback loops for model and application performance in production
  • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems
  • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities
  • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices
    Qualifications
    • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field
    • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience
    • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production
    • Strong programming skills in Python and experience with backend/API development
    • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design
    • Experience in optimizing RAG pipelines using both structured and unstructured data
    • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent
    • Experience in generative AI techniques such as GANs, and VAEs
    • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search
    • Experience with cloud platforms such as AWS, GCP, or Azure
    • Experience with Docker, Kubernetes, CI/CD, and production deployment practices
    • Strong understanding of software architecture, scalability, reliability, and distributed systems
    • Experience building evaluation, testing, and monitoring for AI systems
    • Strong communication skills and ability to work closely with technical and non-technical stakeholder

    Preferred Qualifications

    • Experience fine-tuning or adapting open-source LLMs
    • Advanced knowledge of natural language processing for text generation tasks
    • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks
    • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar
    • Experience building multi-agent systems or advanced orchestration workflows
    • Experience with AI safety, guardrails, red-teaming, privacy, and governance
    • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems
    • Experience in customer-facing or enterprise SaaS products
    • Experience in semiconductor/manufacturing, retail and e-commerce sectors

    Additional Information

    All your information will be kept confidential according to EEO guidelines.