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Ai Rag Jobs in Compton, CA (NOW HIRING)

Nowcom

AI Voice Engineer

Los Angeles, CA · On-site

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

Divergent

AI Solutions Engineer

Torrance, CA · On-site

Develop domain specific AI software using RAG and Agentic AI. * Collaborate with the data engineers, product teams, people operations, and legal to ensure compliant and responsible AI. * Implement ...

SolGenie

AI Lead (SAP Background Required)

Torrance, CA · On-site +1

$106K - $139K/yr

This role requires strong experience in LLMs, prompt engineering, RAG pipelines, and AI-driven automation, with a focus on POCs → production deployment. Candidates having experience building and ...

UCLA Health

Cloud Engineer

Los Angeles, CA · On-site

$128K - $298K/yr

... AI), RAG architectures, embeddings and vector databases/search, prompt/version management, and evaluation/guardrails for safety and groundedness. • Responsible AI + governance experience for ...

Hop

Senior AI Engineer

Los Angeles, CA

$112K - $154K/yr

Summary You will architect and develop production-grade LLM agents and RAG pipelines, steer the ... Build & Ship Gen AI Apps:  Design, prototype, and build GenAI solutions, RAG document pipelines ...

Gallatin AI, Inc.

AI Software Engineer

El Segundo, CA · On-site

Gallatin AI, Inc. is focused on rebuilding logistics infrastructure for national security missions ... RAG), Hugging Face, Exo Labs. • MLOps & Data Engineering Knowledge: Experience with data ...

Gallatin AI, Inc.

AI Software Engineer

El Segundo, CA · On-site

Gallatin AI, Inc. is focused on rebuilding logistics infrastructure for national security missions ... RAG), Hugging Face, Exo Labs. • MLOps & Data Engineering Knowledge: Experience with data ...

Hop

Senior AI Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

Summary You will architect and develop production-grade LLM agents and RAG pipelines, steer the ... Build & Ship Gen AI Apps: Design, prototype, and build GenAI solutions, RAG document pipelines, and ...

Crunchyroll, LLC

Senior AI Solutions Engineer

Los Angeles, CA · On-site

$59.50 - $76.75/hr

As a Senior AI Solutions Engineer in Crunchyroll's AI Enablement "Build & Partner" layer, you are ... You design and implement systems that plan, use tools, and maintain state - utilizing RAG pipelines ...

Create Music Group

Staff AI Engineer

Los Angeles, CA · On-site

$190 - $210/hr

Design RAG pipelines, retrieval architectures, and semantic search grounded in CreateOS structured ... Ship full-stack AI-native features end-to-end -- chat interfaces, copilot tools, workflow ...

Gallatin AI, Inc.

AI Software Engineer

El Segundo, CA · On-site

The AI Software Engineer will develop and deploy AI-powered solutions, working across the full AI ... RAG), Hugging Face, Exo Labs. • MLOps & Data Engineering Knowledge: Experience with data ...

Create Music Group

Staff AI Engineer

Los Angeles, CA · On-site

Design RAG pipelines, retrieval architectures, and semantic search grounded in CreateOS structured ... Ship full-stack AI-native features end-to-end - chat interfaces, copilot tools, workflow automation ...

Mondo

Senior Data & AI Engineer x2

Santa Monica, CA · On-site

$200K - $225K/yr

Develop AI tools, RAG solutions, and agentic workflows. * Own projects from discovery through deployment and adoption. * Improve data quality, monitoring, and documentation. * Explain technical ...

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All JobsAi Rag JobsAi Rag Jobs in Compton, CA

Ai Rag information

See Compton, CA salary details

$32.5K

$59.2K

$84.8K

How much do ai rag jobs pay per year?

As of Aug 20, 2026, the average yearly pay for ai rag in Compton, CA is $59,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $66,000.00 per year, depending on experience, location, and employer.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What are popular job titles related to Ai Rag jobs in Compton, CA?

For Ai Rag jobs in Compton, CA, the most frequently searched job titles are:

What job categories do people searching Ai Rag jobs in Compton, CA look for?

The top searched job categories for Ai Rag jobs in Compton, CA are:

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Cities near Compton, CA with the most Ai Rag job openings:

Ai Rag jobs near you

AI Voice Engineer

Nowcom

Los Angeles, CA • On-site

Full-time

Posted 10 days ago

Job description

This role involves working with state-of-the-art speech recognition, speech synthesis, voice streaming, and AI agent frameworks to create scalable voice solutions for customer service, sales, finance, and automation applications.
If you're passionate about conversational AI and enjoy solving challenging engineering problems, we'd love to hear from you.
  • Responsibilities
    • Design and develop real-time voice-to-voice AI agents.
    • Build conversational AI systems using LLMs and agent frameworks.
    • Integrate Speech-to-Text (STT) and Text-to-Speech (TTS) technologies into production applications.
    • Optimize latency and streaming performance for natural conversations.
    • Develop backend services and APIs using Python and C#/.NET.
    • Integrate with telephony, voice streaming, and communication platforms.
    • Implement conversation memory, tool calling, function execution, and retrieval-augmented generation (RAG) workflows.
    • Collaborate with product managers, AI engineers, and software developers to deliver production-ready AI solutions.
    • Evaluate emerging AI models, speech technologies, and voice platforms.
    • Monitor, troubleshoot, and continuously improve voice agent performance and reliability.

    Required Qualifications
    • Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
    • 3+ years of professional software engineering experience.
    • Hands-on experience building voice-to-voice AI applications.
    • Strong understanding of:

      • Speech Recognition (Automatic Speech Recognition - ASR)
      • Speech Synthesis (Text-to-Speech - TTS)
      • Voice Activity Detection (VAD)
      • Audio streaming and low-latency communication

    • Professional experience with Python and C#/.NET.
    • Experience consuming AI APIs and working with LLMs.
    • Experience building REST APIs and microservices.
    • Knowledge of asynchronous programming, event-driven architectures, and real-time streaming.
    • Strong debugging, analytical, and problem-solving skills.

    Preferred Qualifications
    Experience with one or more of the following:
    • Real-time conversational AI platforms
    • AI agent frameworks
    • Retrieval-Augmented Generation (RAG)
    • Vector databases
    • Prompt engineering and evaluation
    • WebRTC, SIP, RTP, or telephony integrations
    • Azure AI, Azure OpenAI, or other cloud AI services
    • Docker and Kubernetes

    CI/CD pipelines and cloud-native application development

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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