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Internship Generative Ai Prompt Engineer Jobs in California

Info Way Solutions

Generative AI Architect

San Jose, CA · On-site

$73.75 - $97.25/hr

... prompt engineering techniques. • Collaborate with cross-functional teams including cloud ... Generative AI projects. • Strong experience with LLMs such as GPT, Claude, LLaMA, Mistral, or ...

Meta

Partner Engineer, Generative AI

Menlo Park, CA · On-site

$149K/yr

Partner Engineer, Generative AI Responsibilities: * Apply relevant AI and machine learning ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

SAP

SAP iXp Intern - Full-Stack AI Developer

Palo Alto, CA · On-site

$22 - $29/hr

Understanding of prompt engineering, embeddings, vector databases, or retrieval-augmented ... internship, research, open-source, or personal project experience involving Generative AI or full ...

SAP

SAP iXp Intern - Full-Stack AI Developer

Palo Alto, CA · On-site +1

$22.75 - $29.75/hr

Understanding of prompt engineering, embeddings, vector databases, or retrieval-augmented ... internship, research, open-source, or personal project experience involving Generative AI or full ...

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Internship Generative Ai Prompt Engineer information

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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The most popular types of Generative Ai Prompt Engineer jobs in California are:

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For Internship Generative Ai Prompt Engineer jobs in California, the most frequently searched job titles are:

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Cities in California with the most Internship Generative Ai Prompt Engineer job openings:

Internship Generative Ai Prompt Engineer jobs near you
Infographic showing various Internship Generative Ai Prompt Engineer job openings in California as of August 2026, with employment types broken down into 67% Full Time, 28% Part Time, 2% Temporary, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution.

AI Engineer

San Mateo, CA • On-site

Rootshell Enterprise Technologies, Inc.
11 - 50 employees
Learn more about Rootshell Enterprise Technologies, Inc.external

Full-time

Posted 13 days ago

Job description

Hello All,
Greetings from Rootshell Inc.
Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking AI Engineer for one of our client, Please share your resume with current location & full contact info
Role:AI Engineer
Location:San Mateo, CA ( Hybrid )
Job Summary
Job Summary:
We are looking for an AI Engineer to design, develop, deploy, and maintain AI-powered applications and machine learning solutions. The ideal candidate should have strong programming skills, experience with machine learning and generative AI, and the ability to integrate AI models into scalable production systems.
Key Responsibilities
  • Design and develop AI/ML solutions for business requirements.
  • Build and deploy Generative AI and LLM-based applications.
  • Develop RAG (Retrieval-Augmented Generation) pipelines using embeddings and vector databases.
  • Integrate AI models through APIs and cloud services.
  • Develop AI agents and tool-calling workflows.
  • Train, fine-tune, evaluate, and optimize machine learning models when required.
  • Work with data scientists, software engineers, and product teams.
  • Build APIs and backend services for AI applications.
  • Implement model evaluation, monitoring, security, and performance optimization.
  • Deploy AI applications using cloud platforms and containerization technologies.
  • Stay current with emerging AI/ML technologies and best practices.
Required Skills
  • Strong Python programming skills.
  • Understanding of machine learning and deep learning concepts.
  • Experience with LLMs, Generative AI, prompt engineering, and RAG.
  • Familiarity with frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, or LlamaIndex.
  • Knowledge of REST APIs and backend development.
  • Experience with SQL and databases.
  • Familiarity with vector databases and embedding models.
  • Knowledge of Docker and cloud platforms such as AWS, Azure, or GCP.
  • Understanding of Git, CI/CD, testing, and production deployment.

With regards
Naveen | Talent Acquisition
Rootshell Enterprise Technologies Inc.
Naveen@rootshellinc.com | www.rootshellinc.com

Apply