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Internship Retrieval Augmented Generation Jobs in California

Atlas

Founding Applied AI Engineer

San Francisco, CA · On-site

Retrieval-augmented generation (RAG) systems for dynamic hotel and travel searches * Preference engines that learn and evolve from member interactions * Lightweight AI orchestration layers integrated ...

Nastech Global

AI Engineer

Cupertino, CA · On-site

Expertise in building Retrieval-Augmented Generation (RAG) pipelines * Knowledge of semantic layers and knowledge graphs for structured reasoning * Proficient in Python and FastAPI for backend and ...

ClifyX

Senior Cloud Data & AI Architect

Los Angeles, CA · On-site

$72.50 - $97/hr

... retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage. • Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models. • Hands-on ...

Waymo

Senior Software Engineer, DevAI

Mountain View, CA · On-site

$213K - $263K/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 ...

Nirmata

AI Software Engineer Intern

San Jose, CA · On-site

Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) technologies including Retrieval-Augmented Generation (RAG) and model tuning. * Familiarity with SLMs: model design and fine ...

Resolve AI

Research Engineer

San Francisco, CA · On-site

Research and experiment with novel techniques, including reinforcement learning, retrieval-augmented generation, and autonomous reasoning * Work in a collaborative, high-impact team, translating ...

Scanhealthplan

AI Staff Engineer

Long Beach, CA

Implement retrieval-augmented generation, vector search, structured data access, and document processing where appropriate. * Partner with data and platform teams to ensure quality, lineage ...

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Internship Retrieval Augmented Generation information

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 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 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:

Internship Retrieval Augmented Generation jobs near you
Infographic showing various Internship Retrieval Augmented Generation job openings in California as of August 2026, with employment types broken down into 69% Full Time, 27% Part Time, 2% Temporary, and 2% Contract. Highlights an 67% Physical, 2% Hybrid, and 31% Remote job distribution.

Founding Applied AI Engineer

Atlas

San Francisco, CA • On-site

Full-time

Re-posted 28 days ago

Atlas Technical Consultants rating

7.7

Company rating: 7.7 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

262nd of 449 rated engineering

Job description

About Atlas
Atlas is the concierge and credit card built for those who expect more - unlocking coveted access across dining, travel, and lifestyle while making spending seamless and effortless.
Our members are discerning, busy individuals who rely on Atlas to deliver insider access, curated service, and unmatched reliability.
In just 12 months, we've scaled to over $X00,000,000 in spending volume, growing double digits month-over-month - organically, without paid marketing.
We're backed by world-class investors and have multiple years of runway ahead. Our team brings deep experience from building and scaling iconic products at companies like Apple, Robinhood, and DoorDash.
Today, we're a small, high-performing team of around 35 people based between New York and San Francisco. We value in-person collaboration and expect you to join us in our SF office (FiDi) at least three days a week.
The Role
We're looking for an applied AI engineer to help us build the next generation of Atlas - starting with an AI-powered travel and hotel concierge used by some of the most influential people in the world.
You'll design and ship real-world AI systems that personalize recommendations, automate complex requests, and rethink how payments, dining, and travel can work at the highest level.
This is a rare opportunity to work on meaningful, user-facing AI products inside a small, world-class team.
What You'll Build
  • AI recommendation and booking flows (hotels, dining, flights)
  • Retrieval-augmented generation (RAG) systems for dynamic hotel and travel searches
  • Preference engines that learn and evolve from member interactions
  • Lightweight AI orchestration layers integrated with Zendesk, Slack, and our internal tools
What We're Looking For
We believe determined and passionate people can adapt to any tech stack. Ideally, you have:
  • 5+ years experience developing software in modern environments (Python, Node.js, Go, or similar)
  • 3+ years experience deploying and scaling cloud-based applications (AWS, GCP, or similar)
  • Deep experience integrating LLMs (OpenAI, Anthropic, Hugging Face) and building production AI systems
  • Knowledge of retrieval-augmented generation (RAG), embeddings, and vector search (Pinecone, FAISS, or similar)
  • Solid understanding of database design (Postgres, Redis, vector DBs)
  • Strong optimization skills, especially for low-latency, high-availability systems
  • Product instincts - you think about the end experience, not just the technical specs
  • Collaboration skills and a desire to work tightly with product, design, and operations
Why You'll Love Working Here
  • Real impact: You'll help define how AI changes luxury travel, payments, and experiences for the most discerning customers in the world.
  • Early stage, no bureaucracy: We're lean, well funded, growing fast, and moving faster.
  • Creative, high-caliber teammates: Our team comes from places like Shopify, Apple, Y Combinator startups - but what matters most here is what you build.
  • Solid compensation: Competitive salary and meaningful equity - you're helping build the foundation of Atlas.
  • Fun problem space: Every day involves designing tech that makes luxury travel, dining, and payments feel seamless.

What Atlas Technical Consultants employees say

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