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Retrieval Augmented Generation Rag Jobs in Los Angeles, CA

Westlake Services, LLC

AI Voice Engineer

Los Angeles, CA · On-site

$140 - $220/hr

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

Carter Support Services

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 ...

Nowcom

AI Voice Engineer

Los Angeles, CA

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

Carter Support Services

AI/ML Engineer

Burbank, CA · On-site

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 ...

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 ...

CorVel Corporation

Data Scientist II

Irvine, CA · On-site

$120 - $180/hr

Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate * Collaborate with engineering teams to integrate ...

Funko

Sr. AI Engineer

Burbank, CA

$111K - $152K/yr

Design and implement Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge, business data, and structured information sources. * Build and orchestrate AI agents using modern ...

Funko

Sr. AI Engineer

Burbank, CA · On-site

$111K - $153K/yr

Design and implement Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge, business data, and structured information sources. * Build and orchestrate AI agents using modern ...

Funko

Sr. AI Engineer

Burbank, CA · On-site

$111K - $152K/yr

Design and implement Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge, business data, and structured information sources. * Build and orchestrate AI agents using modern ...

Cerebras

Sr. AI Engineer

Burbank, CA · On-site

$151.50 - $181.50/hr

Design and implement Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge, business data, and structured information sources. * Build and orchestrate AI agents using modern ...

Funko

Sr. AI Engineer

Burbank, CA · On-site

$111K - $153K/yr

Design and implement Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge, business data, and structured information sources. * Build and orchestrate AI agents using modern ...

ACCO Engineered Systems

Senior Developer, AI

Pasadena, CA · On-site

$59.50 - $78.50/hr

The position designs Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, custom LLM integrations, and intelligent system automation across our Azure and Google Cloud ecosystem. Working ...

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How much do retrieval augmented generation rag jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for retrieval augmented generation rag in Los Angeles, CA is $21.82, according to ZipRecruiter salary data. Most workers in this role earn between $18.65 and $22.79 per hour, depending on experience, location, and employer.

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AI Voice Engineer

Westlake Services, LLC

Los Angeles, CA • On-site

$140 - $220/hr

Other

Posted 17 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. This is an on-site position with no relocation assistance provided.

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.
  • 5+ 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)
  • 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
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.
  • 5+ 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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