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Entry Level Retrieval Augmented Generation Jobs in California

Bayrock Labs

AI Engineer

Newark, CA · On-site

$80 - $90/hr

Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) for retrieval-augmented generation. * Familiarity with MLOps tools (MLflow, Kubeflow, or similar). * Knowledge of prompt engineering ...

Zyphra

Full-Stack Software Engineer

San Francisco, CA · On-site

Experience building or integrating retrieval-augmented generation (RAG) systems * Experience working with enterprise security and compliance frameworks (i.e., SOC 2, GDPR, etc.) * Familiarity with ...

Clera

Founding Engineer

San Francisco, CA · On-site

$120K - $190K/yr

Familiarity with LLMs and Retrieval-Augmented Generation (RAG) architectures - this is a dealbreaker requirement. * Strong CS fundamentals, high attention to detail, and a fast learner with clear ...

Nirmata

AI Software Engineer Intern

San Jose, CA · On-site +1

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 ...

Eloquent AI

AI Engineer, Platform

San Francisco, CA · On-site

Work closely with AI researchers and ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications. * Ship robust, minimal-dependency code ...

Clera

Founding Engineer

San Francisco, CA · On-site

$120K - $190K/yr

Familiarity with LLMs and Retrieval-Augmented Generation (RAG) architectures -- this is a dealbreaker requirement. * Strong CS fundamentals, high attention to detail, and a fast learner with clear ...

Gallatin AI, Inc.

AI Software Engineer

Palo Alto, CA · On-site

PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic, Mistral), LangChain, Retrieval-Augmented Generation (RAG), Hugging Face, Exo Labs ...

Gallatin AI, Inc.

AI Software Engineer

El Segundo, CA · On-site

PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic, Mistral), LangChain, Retrieval-Augmented Generation (RAG), Hugging Face, Exo Labs ...

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Entry Level Retrieval Augmented Generation information

What is an entry level retrieval augmented generation job?

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?

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 are some common challenges faced by entry-level professionals working in retrieval augmented generation 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 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 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 Entry Level Retrieval Augmented Generation jobs in California?

For Entry Level Retrieval Augmented Generation jobs in California, the most frequently searched job titles 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:

Entry Level Retrieval Augmented Generation jobs near you
Infographic showing various Entry Level Retrieval Augmented Generation job openings in California as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution.

Forward Deployed Engineer, AI Agents

CoreWeave

Sunnyvale, CA • On-site

$182K - $242K/yr

Full-time

Posted 11 days ago

CoreWeave rating

9.8

Company rating: 9.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 224 rated it services

Job description

About the role

As a Forward Deployed Engineer (FDE) you will work directly with our customers, embedding inside their AI teams to help them build and deploy successful AI agents with the W&B Weave developer toolkit.

This is a hands-on, customer-facing engineering role-ideal for someone who thrives in high-impact environments, enjoys solving open-ended technical problems, and wants to shape how the world's leading organizations build with AI.

Responsibilities

  • Embed inside customer AI engineering teams to design, prototype, and productionize AI agents using W&B Weave.
  • Act as a trusted technical advisor, helping customers make architectural decisions and best practices for agentic workflows.
  • Develop reference implementations, demos, and example projects that showcase effective use of W&B Weave.
  • Gather and relay feedback from the field to influence the W&B Weave product roadmap and improve the AI developer experience.
  • Conduct technical workshops, deep dives, and enablement sessions to accelerate customer adoption.
  • Troubleshoot and resolve technical challenges in customer environments.

Qualifications

  • Strong engineering background with experience in Python and modern ML/AI systems frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, etc.).
  • A minimum of a bachelor's degree (or international equivalent), in Computer Science or related field, is required.
  • Hands-on experience with LLMs, AI agents, or orchestration frameworks.
  • Ability to work directly with customers in technical consulting or solution engineering roles.
  • Excellent communication skills: able to explain complex technical concepts clearly to both technical and business stakeholders.
  • Comfortable working in fast-paced, ambiguous environments where creativity and problem-solving are key.
  • Experience in one or more of the following is a plus:

Building production ML/AI systems.

Working with vector databases, retrieval-augmented generation, or reinforcement learning.

Prior forward deployed / field engineering / solutions architect roles.


The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

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