2

Entry Level Retrieval Augmented Generation Jobs in California

Develop AI-native solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and modern orchestration frameworks to accelerate issue resolution, developer ...

New

The ideal candidate should have hands-on expertise with Retrieval-Augmented Generation (RAG), Agentic AI workflows, and LLM-based automation, with the ability to integrate AI systems into complex ...

... and Retrieval Augmented Generation (RAG) techniques to enhance data analytics capabilities • Applying Machine Learning technologies for anomaly detection","responsibilities":"Tuning and scaling ...

Experience orchestrating agentic workflows and retrieval augmented generation. Familiarity with LangGraph is a plus. * Stand up inference paths with low latency serving and token-level observability

Collaborate with other engineers on prompt engineering, model evaluation, and retrieval-augmented generation (RAG) pipelines that ground the agent in accurate, up-to-date knowledge. About you: * 7+ ...

RAG (Retrieval-Augmented Generation) * Chatbots intelligents * systemes multi-agents * assistants IA et workflows intelligents * Developper et integrer des APIs REST en Python pour exposer les ...

... retrieval-augmented generation (RAG), including real-world implementation and operational use. • Experience building APIs and data pipelines with a strong foundation in system design, testing, CI ...

Solid understanding of AI concepts applied to engineering workflows, such as LLMs, retrieval-augmented generation (RAG), and automation and code generation * Strong software skills (Java and Python ...

RAG (Retrieval-Augmented Generation) * Chatbots intelligents * systèmes multi-agents * assistants IA et workflows intelligents * Développer et intégrer des APIs REST en Python pour exposer les ...

Build and optimize retrieval-augmented generation (RAG) systems. * Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems. * Help shape the ...

next page

Showing results 1-20

Entry Level Retrieval Augmented Generation information

What are entry level retrieval augmented generation jobs?

Entry level retrieval augmented generation jobs involve assisting in the development and optimization of AI systems that combine information retrieval techniques with generative models. Employees in these roles typically help build, test, and maintain systems where AI retrieves relevant data from large databases to enhance the accuracy and relevance of generated responses. These positions often require basic skills in programming, machine learning, and familiarity with natural language processing. They are ideal for recent graduates or those new to AI, offering opportunities to learn about modern AI architectures and contribute to innovative projects. Entry level workers may work under the guidance of senior engineers or researchers, supporting experimentation and evaluation tasks.

What are the key skills and qualifications needed to thrive as an Entry Level Retrieval Augmented Generation Specialist, and why are they important?

To thrive as an Entry Level Retrieval Augmented Generation Specialist, you need a foundational understanding of natural language processing (NLP), information retrieval, and basic programming skills, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, vector databases (like FAISS or Pinecone), and frameworks for large language models (LLMs) is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and troubleshoot solutions in team environments. These skills and qualities are crucial for building reliable RAG systems that deliver accurate and relevant information to users.

What is the difference between Entry Level Retrieval Augmented Generation vs Entry Level Data Scientist?

AspectEntry Level Retrieval Augmented GenerationEntry Level Data Scientist
Required CredentialsBasic programming, understanding of NLP and AI conceptsBachelor's in Data Science, Computer Science, or related field
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Industry UsageAI development, NLP applications, chatbot creationData analysis, predictive modeling, data-driven decision making

Entry Level Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with generative AI, requiring knowledge of NLP and programming. Entry Level Data Scientist involves analyzing data, building models, and deriving insights, often with a broader data analysis skill set. While both roles require technical skills, Retrieval Augmented Generation is more specialized in AI model development, whereas Data Scientists work across various data projects.

What are some common challenges faced by entry-level professionals working in Retrieval Augmented Generation (RAG) roles?

Entry-level professionals in Retrieval Augmented Generation (RAG) often encounter challenges such as understanding how to effectively combine information retrieval systems with large language models and adapting to rapidly evolving technologies. Balancing accuracy and efficiency when designing or fine-tuning retrieval pipelines can also be a learning curve. Additionally, you may need to collaborate closely with data engineers, machine learning specialists, and product teams to ensure the RAG system aligns with business requirements. Staying proactive in learning and engaging with peers can help overcome these challenges and accelerate career growth.
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 job categories do people searching Entry Level Retrieval Augmented Generation jobs in California look for? The top searched job categories for Entry Level Retrieval Augmented Generation jobs in California are:
What cities in California are hiring for Entry Level Retrieval Augmented Generation jobs? Cities in California with the most Entry Level Retrieval Augmented Generation job openings:
Infographic showing various Entry Level Retrieval Augmented Generation job openings in California as of July 2026, with employment types broken down into 22% Locum Tenens, 67% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution.
Software Engineer - Drive OS

Software Engineer - Drive OS

Nvidia

Santa Clara, CA

Full-time

Posted 2 days ago

New


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

We are looking for a world-class AI Agentic Workflow Engineer to join the NVIDIA DRIVE OS Build & Release Engineering team. NVIDIA DRIVE OS is a foundational software platform consisting of an embedded Real-Time Operating System (RTOS), hypervisor, NVIDIA CUDA libraries, NVIDIA TensorRT, and other components that power the next generation of autonomous and intelligent systems.

In this role, you'll help transform Build & Release Engineering by developing AI-powered agentic workflows that automate software delivery, build diagnostics, release management, and developer support. Working at the intersection of AI and DevOps, you'll build intelligent automation that improves developer productivity, software quality, and release reliability across NVIDIA engineering teams.

What You'll Be Doing:

  • Design and develop AI-powered agentic workflows that automate and optimize software build, release, CI/CD, and developer productivity processes across the DRIVE OS software lifecycle.

  • Build intelligent AI agents and self-healing automation that proactively detect build failures, analyze root causes, recommend or implement fixes, and improve software delivery reliability.

  • Develop AI-native solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and modern orchestration frameworks to accelerate issue resolution, developer support, documentation, and engineering workflows.

  • Integrate AI capabilities with build, source control, and DevOps platforms including GitLab, Jenkins, Git, Docker, CMake, Bazel, Jira, and related engineering tools.

  • Collaborate closely with Build & Release, Developer Efficiency, and software engineering teams to identify automation opportunities, modernize engineering workflows, and deliver scalable technology solutions that improve developer experience and software quality.

  • Contribute to engineering guidelines, standards, and technical direction for AI-assisted software development, build automation, testing, and release engineering across NVIDIA.

What We Need to See:

  • BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.

  • 2+ years of software engineering experience with strong programming skills in Python.

  • Hands-on experience building applications using modern AI technologies, including LLMs, agentic workflows, deterministic oracles, Retrieval-Augmented Generation (RAG), prompt engineering, tool calling, and agent orchestration frameworks.

  • Experience designing or implementing AI agents or intelligent automation for software engineering or developer productivity workflows.

  • Experience with CI/CD systems, software development workflows, and source control tools such as Git or Perforce.

  • Familiarity with build systems such as CMake, Bazel, Make, or similar technologies.

  • Strong analytical and problem-solving skills with experience automating complex engineering processes.

  • Excellent collaboration and communication skills with the ability to work effectively across multiple engineering organizations.

Ways to Stand Out from the Crowd:

  • Experience crafting production-grade agentic AI systems that bring to bear deterministic oracles, tool execution, workflow orchestration, and verification frameworks to deliver reliable autonomous workflows.

  • Background with multi-agent architectures, agent evaluation frameworks, tool calling, structured outputs, Model Context Protocol (MCP), or AI workflow orchestration platforms.

  • Background with AI frameworks and platforms such as OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex, AutoGen, CrewAI, or similar technologies.

  • Experience integrating LLMs into Build & Release Engineering, DevOps, CI/CD, or Developer Experience (DevEx) platforms.

  • Experience building self-healing infrastructure, autonomous operations, AI-powered developer assistants, or intelligent software diagnostics.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 19, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993