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Remote Rag Jobs in Dublin, CA (NOW HIRING)

Pryon

Solutions Architect

San Francisco, CA · Remote

$160K - $180K/yr

Now we're building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG ... Remote first organization - 100% Company paid Health/Dental/Vision benefits for you and your ...

Hercules

AI Context & Harness Engineer

San Francisco, CA · On-site +1

$100K - $250K/yr

... RAG, skills, etc * Yes, we know this industry is evolving rapidly and the "best practices" change ... Is Hercules in-office or remote? Hercules founding team works in-office in San Francisco (Kearny ...

Pryon

Solutions Architect

San Francisco, CA · Remote

$160K - $180K/yr

Now we're building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG ... Benefits for Full Time Employees: - Remote first organization - 100% Company paid Health/Dental ...

Workato

Senior AI Research Scientist

San Francisco, CA · On-site +1

$116K - $147K/yr

Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an ... Explore workflow‑aware planning, cost‑optimised RAG, tool‑use evaluation, and multi‑agent ...

Vercel

Software Engineer, Agent

San Francisco, CA · On-site +1

... remote. For location-specific details, please connect with our recruiting team. What you will do ... RAG) pipelines that ground the agent in accurate, up-to-date knowledge. About you: * 7+ years of ...

Qdrant

Head of Marketing

San Francisco, CA · Remote

... RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot ... As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel ...

GC AI

Applied AI Engineer

San Mateo, CA · On-site +1

$165K - $350K/yr

Experience with RAG systems and LLM evaluation. * Familiarity with legal domain or legal text ... Location Policy This is a remote role unless you fall within the following parameters. If you live ...

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Remote Rag information

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How much do remote rag jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote rag in Dublin, CA is $24.22, according to ZipRecruiter salary data. Most workers in this role earn between $20.29 and $25.72 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Rag, and why are they important?

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 (Retrieval-Augmented Generation) specialist?

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 (Responsible AI Governance) 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.
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Remote Rag jobs near you

Marketing AI Specialist (4 Month Contract )

Azul

Sunnyvale, CA • On-site, Remote

$35/hr

Full-time, Contractor

Medical, PTO

Re-posted 13 days ago

Job description

As our Marketing AI Specialist, you will be the architect of our team's AI-enabled productivity. You'll work closely with the marketing team and broader technology stakeholders to design and implement AI-enabled workflows that fundamentally change how the marketing team operates. This isn't just about knowing the best prompts - it's about systemic integration. You will identify manual bottlenecks across the marketing department and solve them by building custom AI agents, automated workflows, and internal tools. You will act as a bridge between the rapidly evolving world of generative AI and our day-to-day marketing operations, and you will report to the Sr. Director, Marketing Operations.
This is a 4-month full-time contract role. You'll be embedded with the marketing team from day one, delivering against a real backlog of AI-first priorities on a daily cadence.
About You
You are a driven, results-oriented individual who thrives at the intersection of technology and marketing. You have hands-on experience with large language models and AI tooling, and you understand how to translate those capabilities into real business value for a marketing team. You are as comfortable setting strategy as you are getting into the technical details - and you love taking down AI deliverables and enabling others to do their best work with AI on a daily cadence.
What You'll Do (aka Responsibilities)
AI Agent Development Design, build, and maintain custom AI agents and agentic workflows (using Claude, OpenAI GPTs, and similar platforms) to assist specific marketing roles - from field marketing and content creators to digital marketing and marketing operations. You will iterate continuously based on team feedback.
Workflow Automation Use tools like Zapier, MCP connectors, and LLM integrations to connect AI capabilities into our existing martech stack (Marketo, Salesforce, 6sense, and more), replacing manual processes with intelligent, automated systems.
MCP Connector Development Own the development and ongoing maintenance of Model Context Protocol (MCP) connectors across marketing applications, ensuring reliable integrations and optimized query performance for each connector.
Prompt Engineering & Governance Build and maintain a centralized library of high-performing, standardized prompts, skills, and "brand voice" frameworks to ensure AI output consistency across the team. Establish guardrails and governance standards for how the team interacts with AI tools.
Backlog Delivery Deliver a steady cadence of milestones from marketing's AI-first backlog, balancing strategic longer-term projects with tactical short-term priorities. You move fast and ship frequently.
Enablement & Office Hours Lead enablement efforts and host regular office hours to support the marketing team with onboarding to new tools, troubleshooting, and answering questions. You build alongside the team, not just for them.
Best Practice Sharing Act as the team's internal AI authority - sharing what's working, what's not, and what's coming. Foster a culture of continuous AI learning and improvement across all marketing disciplines.
Tool Evaluation Stay on the pulse of the marketing AI landscape. Vet new tools and vendors to ensure the team stays ahead of the curve while maintaining data security and integration standards.
RAG Customization Explore and implement Retrieval-Augmented Generation (RAG) customization where applicable to enhance the relevance and accuracy of AI outputs. (Nice to have.)
What You'll Bring (Education, Skills, Qualifications)
  • 1+ year of experience in AI, marketing operations, marketing technology, or a related field (full time roles or internships)

  • Strong hands-on experience building and scaling with LLMs - Claude, GPT, Gemini, or similar - in production or near-production environments

  • A portfolio of "Builds" - show us the agents and/or automated workflows you've already deployed

  • Experience with Model Context Protocols (MCPs) and a solid working knowledge of how to connect LLMs to martech systems

  • Proven ability to build and deploy automated workflows using tools like Zapier, n8n, or similar integration platforms

  • Strong communicator who can translate complex AI capabilities into practical, everyday value for non-technical marketing stakeholders

  • Solid understanding of marketing principles and fluency across MarTech ecosystems (CRM, MAP, ABM, analytics)

  • Background in management information systems (MIS) or a marketing or business major with a second degree and/or minor in computer science, data engineering, or software development preferred

  • Driven, results-oriented mindset with a track record of delivering in fast-moving, ambiguous environments

  • Experience with multi-modal AI (image generation, video, audio synthesis) is a plus

Additional Details
Location: Remote, US
Type: Contract (4-Month)
$35 - $35 an hour
What we Offer
• Comprehensive compensation and healthcare packages
• Referral Program
• Work-life balance, remote-first, paid time off, company shutdown, holidays
• Work with top experts worldwide whom contribute to the Java ecosystem
Our Culture & Values
• Maniacal Customer Focus
• Innovation & Excellence
• Initiative & Courage
• Impact & Influence
• Integrity & Transparency
• Diversity, Inclusion & Teamwork
Azul participates in E-Verify.
As a US employer, Azul Systems, Inc. uses E-Verify to confirm the employment eligibility of all newly hired employees working in the United States. For more information about E-Verify, please visit www.e-verify.gov.
Employment at Azul is contingent upon the completion of reference and background checks.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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