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Remote Rag Jobs in Whittier, CA (NOW HIRING)

Corvel

Data Science Manager

Irvine, CA · Remote

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build, train, and ... Knowledge of Retrieval-Augmented Generation (RAG) patterns, including how to manage embeddings ...

Baidu USA

Forward Deployment Engineer

Los Angeles, CA · On-site +1

Understanding of AI/ML is a plus (LLMs, agents, RAG), but not mandatory - you can learn on the job ... Flexible PTO and remote work arrangements. * Earlyhire advantage: Be one of the first US team ...

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How much do remote rag jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote rag in Whittier, CA is $22.73, according to ZipRecruiter salary data. Most workers in this role earn between $19.04 and $24.13 per hour, depending on experience, location, and employer.

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 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 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 Whittier, CA look for? The top searched job categories for Remote Rag jobs in Whittier, CA are:
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Remote Rag jobs near you

Senior AI Workflow & Systems Engineer

TubeScience

Los Angeles, CA • Remote

$110K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

Senior AI Workflow & Systems Engineer  
Build and run the AI infrastructure that powers every team at TubeScience.

Role: Senior AI Workflow & Systems Engineer  
Location: Remote (Los Angeles based preferred)  
Compensation: Remote $70,000-$120,000 | Los Angeles $110,000-$160,000  
Reports to: VP of IS  
Team: Information Systems

About TubeScience

TubeScience is a data-driven creative studio producing performance advertising at massive scale - and we're growing fast. We're looking for a Senior AI Workflow & Systems Engineer to be the most technically sophisticated AI builder in the company. You'll sit in IT but serve everyone - owning the infrastructure, deployments, and systems that make our AI initiatives real, and unblocking every team that's building on top of them.

The Role

This is a systems and deployment role for someone genuinely excited about where AI is taking enterprise engineering. You won't just design workflows - you'll own the infrastructure they run on, keep them running reliably, and be the expert other teams call when things break or they hit a wall.

You are the architect, the deployer, the maintainer, and the unlocker - all in one. When there's no PM driving an AI initiative, you'll step in and own it end-to-end.

What You'll Own

AI Workflow Engineering

  • B
    • uild and deploy LLM-powered applications and agent-based workflows that eliminate manual effort across the company
  • D
    • esign multi-step agentic pipelines - tool use, RAG, structured outputs - built for production, not demos
  • I
    • ntegrate AI workflows with TubeScience's existing systems via REST APIs, webhooks, and custom integrations
  • D
    • evelop automation pipelines
  • E
    • valuate emerging AI tooling and own build-vs-buy decisions

    Infrastructure & Deployment

  • O
    • wn deployment and management of AI workflows and applications on Vercel and cloud platforms
  • B
    • uild and maintain the infrastructure that supports TubeScience's AI initiatives - including cloud-based agents, serverless functions, and supporting services
  • D
    • esign for resilience: logging, error handling, alerting, and monitoring across all deployed systems
  • M
    • anage secrets, environment configs, and deployment pipelines across environments
  • A
    • lign with engineering on architecture, scalability, and infrastructure decisions

    Cross-Functional Enablement

  • S
    • erve as the go-to technical resource for teams across TubeScience building AI-powered workflows and apps
  • D
    • eploy, maintain, and improve departmental AI tools - owning the full lifecycle from build to production
  • D
    • ebug and unstick builders across the company when they hit technical walls
  • T
    • ranslate team-specific business needs into precise technical requirements and actionable solutions
  • S
    • erve as final escalation for complex AI and systems issues teams can't resolve on their own

    Ownership & Improvement

  • P
    • roactively audit AI systems and workflows for reliability issues, inefficiencies, and improvement opportunities
  • W
    • hen there's no dedicated PM on an AI initiative, step in: define the problem, scope the solution, and drive it to completion
  • P
    • rototype emerging AI tools and frameworks and bring the best ones into TubeScience's stack
  • D
    • ocument every system thoroughly so the company can run it confidently

    What We're Looking For

    Background & Experience

  • 4
    • -6+ years in software engineering, DevOps, or systems engineering - with hands-on AI/ML experience
  • S
    • trong foundation as a software, systems, or DevOps engineer who has grown into AI - not the other way around
  • P
    • roven experience deploying and managing production applications on Vercel, AWS, GCP, or equivalent
  • H
    • ands-on with LLMs, generative AI, and orchestration tools (n8n, Make, Zapier, LangChain, or equivalent)
  • P
    • roven REST API integration experience with solid edge-case handling
  • E
    • xperience building or maintaining cloud-based agents and serverless infrastructure

    Technical Skills

  • S
    • trong Python and/or JavaScript/Node.js - clean, production-grade code
  • S
    • olid understanding of deployment pipelines, CI/CD, environment management, and secrets handling
  • E
    • xperience with vector databases and embedding-based retrieval
  • C
    • omfortable with cloud infrastructure (AWS and/or GCP) and cloud-native application patterns
  • F
    • amiliarity with monitoring, logging, and alerting for production systems

    Soft Skills

  • H
    • ighly autonomous - identifies problems and ships solutions without waiting to be asked
  • E
    • ffective communicator across technical and non-technical audiences
  • S
    • trong product instincts: can step into ownership of an initiative when there's no PM in the room
  • C
    • alm under pressure; reliable when other teams are blocked and need answers fast
  • C
    • omfortable working across many different teams and problem domains simultaneously

    Bonus Points

  • E
    • xperience with AI agent frameworks
  • B
    • ackground in high-volume performance advertising, media, or creative production
  • E
    • xperience with AI in a production context
  • M
    • ulti-step agentic pipeline design or large-scale workflow orchestration
  • E
    • xperience with data pipelines or BI tooling

    Benefits
    Health, Vision & Dental coverage  
    Unlimited PTO  
    401(k) + Matching  
    Life Insurance  
    Paid Sick Days  
    Paid Parental Leav

    Apply