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Remote Rag Jobs in Lakewood, CA (NOW HIRING)

YO AI Labs

AI/ML Engineer - Remote

Los Angeles, CA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

YO AI Labs

Mental Health Expert - Remote

Los Angeles, CA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

NEOGOV

Engineering Manager - AI Platform

El Segundo, CA · On-site +1

Remote Optional Job Number: 00949 Department: R&D Ops Division: General Opening Date: 08/26/2026 ... Own the roadmap and delivery of GenAI, AI agents, RAG, and intelligent automation into products ...

SolGenie

AI Lead (SAP Background Required)

Torrance, CA · On-site +1

$106K - $139K/yr

We have got a Remote contract opportunity for AI Lead with one of our clients. The detail of the ... This role requires strong experience in LLMs, prompt engineering, RAG pipelines, and AI-driven ...

GDIT

AI Data Scientist

Los Angeles, CA · On-site +1

Design, build, and maintain advanced RAG and LLMdriven capabilities that power our virtual agents ... a remote work model GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at ...

NTT DATA Services

Agentic AI Engineer

Los Angeles, CA · On-site +1

Implement RAG over financial documents, policies, contracts, and filings * Build LLM-powered ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

NTT DATA Services

Agentic AI Engineer

Los Angeles, CA · On-site +1

Implement RAG over financial documents, policies, contracts, and filings * Build LLM-powered ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

... RAG), where applicable. Experience with platforms such as Azure, AWS, or similar ecosystems is ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

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Remote Rag information

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How much do remote rag jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for remote rag in Lakewood, CA is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.13 and $24.23 per hour, depending on experience, location, and employer.

What is a Remote RAG?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

What are the key skills and qualifications needed to thrive as a Remote RAG?

I'm sorry, but 'Remote Rag' does not appear to be a recognized professional occupation. Please provide a valid job title.

What are some common challenges faced by professionals working in a remote RAG role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.

What job categories do people searching Remote Rag jobs in Lakewood, CA look for?

The top searched job categories for Remote Rag jobs in Lakewood, CA are:

What cities near Lakewood, CA are hiring for Remote Rag jobs?

Cities near Lakewood, CA with the most Remote Rag job openings:

Remote Rag jobs near you

AI/ML Engineer - Remote

Los Angeles, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$200 - $350/hr

Full-time

Posted 4 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.