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Internship Retrieval Augmented Generation Jobs in California

You will design, develop, and deploy intelligent systems that leverage LLMs, Retrieval-Augmented Generation (RAG), MLOps pipelines, and data visualization to optimize engineering productivity, test ...

AI Engineer

Santa Clara, CA · On-site

$56 - $61/hr

Experience architecting and implementing Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding ...

Senior Agentic AI Builder

San Jose, CA · On-site

$107K - $136K/yr

... retrieval-augmented generation pipelines for context-aware AI applications • MCP (Model Context Protocol) - Practical experience with MCP client/server patterns for structured tool-to-data ...

AI/ML Engineer

Burbank, CA · On-site

$111K - $153K/yr

Build and deploy RAG (Retrieval-Augmented Generation) pipelines * Integrate LLMs via APIs (Azure OpenAI preferred) into enterprise applications * Develop and orchestrate agentic AI workflows with ...

This role focuses on building scalable systems leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI workflows . The ideal candidate will bring deep expertise ...

Software Engineer (Java + GenAI)

San Jose, CA · On-site

$60.75 - $83.25/hr

... Retrieval-Augmented Generation (RAG) - Vector databases - Prompt engineering - Large Language Models (LLMs) - Application: Send suitable profiles and contact details to rams@vensoft.com

Senior Software Engineer, DevAI

San Diego, CA · On-site

$130K - $171K/yr

Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG) * Coding Excellence: Proficiency in ...

Implement conversation memory, tool calling, function execution, and retrieval-augmented generation (RAG) workflows. * Collaborate with product managers, AI engineers, and software developers to ...

Senior AI Automation Engineer

San Francisco, CA · On-site

$122K - $160K/yr

Define reusable engineering patterns for prompt frameworks, retrieval-augmented generation, text-to-SQL, semantic data models, agent workflows, evaluation, guardrails, human review, and workflow ...

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Internship Retrieval Augmented Generation information

What is an internship in Retrieval Augmented Generation (RAG)?

An Internship in Retrieval Augmented Generation (RAG) is a temporary position, typically for students or early-career professionals, focused on developing or researching AI systems that combine information retrieval with generative models. Interns in this field may work on enhancing how AI models find and use external data sources to generate accurate, context-aware responses. This role often involves tasks such as data preprocessing, implementing retrieval algorithms, fine-tuning language models, and evaluating system performance. It offers valuable hands-on experience with cutting-edge AI technologies and frameworks.

What types of projects or tasks can I expect to work on during an internship in Retrieval Augmented Generation (RAG)?

As an intern in Retrieval Augmented Generation, you can expect to work on projects that involve integrating information retrieval systems with generative AI models. Typical tasks may include curating and preprocessing data sets, developing or fine-tuning retrieval algorithms, evaluating the performance of RAG pipelines, and collaborating with engineers and researchers to improve end-to-end system accuracy. You may also assist in conducting experiments, analyzing results, and documenting findings, all within a collaborative team environment that values innovation and knowledge sharing.

What are the key skills and qualifications needed to thrive as an intern working with Retrieval Augmented Generation (RAG), and why are they important?

To thrive as an intern in Retrieval Augmented Generation, you need a foundational understanding of natural language processing, machine learning concepts, and strong programming skills, often supported by coursework or research in computer science or data science. Familiarity with tools like Python, PyTorch or TensorFlow, and experience with libraries such as Hugging Face Transformers and vector databases are typically required. Strong analytical thinking, curiosity, and effective communication make candidates stand out in collaborative, research-intensive environments. These abilities are critical for developing, evaluating, and improving RAG systems that combine information retrieval with generative models.

What is the difference between Internship Retrieval Augmented Generation vs Internship Data Analyst?

AspectInternship Retrieval Augmented GenerationInternship Data Analyst
Required SkillsKnowledge of AI, NLP, retrieval systems, programmingData analysis, statistical skills, Excel, SQL
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Employer UsageDevelop AI models, improve retrieval systemsAnalyze data trends, generate reports

Internship Retrieval Augmented Generation focuses on developing AI models that combine retrieval systems with language generation, requiring skills in AI and programming. In contrast, an Internship Data Analyst concentrates on analyzing data sets to inform business decisions, emphasizing statistical and analytical skills. Both roles are common in tech and business sectors but serve different functions within organizations.

What are the most commonly searched types of Retrieval Augmented Generation jobs in California?

The most popular types of Retrieval Augmented Generation jobs in California are:

What are popular job titles related to Internship Retrieval Augmented Generation jobs in California?

For Internship Retrieval Augmented Generation jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Retrieval Augmented Generation jobs in California look for?

The top searched job categories for Internship Retrieval Augmented Generation jobs in California are:

What cities in California are hiring for Internship Retrieval Augmented Generation jobs?

Cities in California with the most Internship Retrieval Augmented Generation job openings:

Infographic showing various Internship Retrieval Augmented Generation job openings in California as of August 2026, with employment types broken down into 69% Full Time, 30% Part Time, and 1% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.

GenAI Full Stack Engineer

San Jose, CA • On-site

Other

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


Job description

Role Overview

We are seeking a highly skilled GenAI Full Stack Engineer with strong expertise in Angular frontend development and Python backend engineering to design, develop, and deploy enterprise-grade AI-powered applications. The ideal candidate will have hands-on experience building scalable full-stack solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Vector Databases, and cloud-based AI services.

 

 

Required Skills

Frontend

  • Angular 14+ / TypeScript

  • HTML5, CSS3, JavaScript

  • Responsive UI development

 

Backend

  • Python

  • FastAPI / Flask / Django

  • REST API Development

  • Microservices Architecture

  • SQL & NoSQL Databases

Generative AI

  • Large Language Models (LLMs)

  • Prompt Engineering

  • Retrieval-Augmented Generation (RAG)

  • Vector Databases

  • LangChain / LangGraph / Semantic Kernel

  • AI Agents and Conversational AI Solutions

 

Skills

Mandatory Skills : AI/Generative AI, Angular, Python