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Remote Rag Jobs in Red Oak, TX (NOW HIRING)

Sr Data Scientist GenAI

Dallas, TX ยท On-site +1

$150K - $210K/yr

... RAG (Retrieval-Augmented Generation). - Collaborate closely with ML Engineers, MLOps, software ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

Machine Learning Engineer

Addison, TX ยท On-site +1

$110K - $130K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... RAG) frameworks Enhance, develop, and deploy production-level machine learning models and ...

Senior Applied AI Engineer

Dallas, TX ยท On-site +1

$103K - $142K/yr

Familiarity with RAG architecture, vector databases, or agentic orchestration. * Familiarity with ... This position's work style is remote from any of the locations listed below. You must reside in ...

Senior Applied AI Engineer

Dallas, TX ยท On-site +1

$103K - $142K/yr

Familiarity with RAG architecture, vector databases, or agentic orchestration. * Familiarity with ... This position's work style is remote from any of the locations listed below. You must reside in ...

Forward Deployed Engineer

Dallas, TX ยท On-site +1

$190K - $225K/yr

... RAG-based systems. Role Overview As a Forward Deployed Engineer (FDE), you'll operate at the ... Remote Position with travel to Customer Sites 50% of the time * Access to local co-working space

Forward Deployed Engineer

Dallas, TX ยท On-site +1

$190K - $225K/yr

... RAG-based systems. Role Overview As a Forward Deployed Engineer (FDE), you'll operate at the ... Remote Position with travel to Customer Sites 50% of the time * Access to local co-working space

Senior Backend Engineer - AI Platform

Dallas, TX ยท On-site +1

$121K - $159K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Design solutions for context management, memory, and retrieval-augmented generation (RAG) to ...

Senior Backend Engineer - AI Platform

Dallas, TX ยท On-site +1

$121K - $159K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Design solutions for context management, memory, and retrieval-augmented generation (RAG) to ...

AI Engineer

Dallas, TX ยท Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... RAG * Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands ...

Build multi-agent AI systems, workflows, and Retrieval-Augmented Generation (RAG) architectures to ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Build multi-agent AI systems, workflows, and Retrieval-Augmented Generation (RAG) architectures to ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

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Remote Rag information

See Red Oak, TX salary details

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How much do remote rag jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for remote rag in Red Oak, TX is $21.29, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $22.60 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.
What cities near Red Oak, TX are hiring for Remote Rag jobs? Cities near Red Oak, TX with the most Remote Rag job openings:

AI Cybersecurity Engineer Principal

Huntington

Dallas, TX โ€ข On-site, Remote

Full-time

Posted 10 days ago


Job description

Description

The AI Cybersecurity Engineer Principle is responsible for designing, developing, and securing AI-driven solutions that enhance cybersecurity capabilities and enable safe enterprise adoption of artificial intelligence. This role bridges AI engineering, cybersecurity, and cloud platforms to deliver intelligent automation, advanced analytics, and secure application architectures. The position focuses on embedding security, governance, and risk controls into AI systems while driving innovation through agentic AI, automation, and data-driven decision-making.

Duties & Responsibilities

  • AI Solution Development: Design, build, and deploy AI/ML and generative AI applications to support cybersecurity operations and enterprise use cases.
  • Security Integration: Embed cybersecurity controls, secure coding practices, and data protection measures into AI applications and development pipelines.
  • Cyber Use Case Enablement: Develop solutions for threat detection, alert triage, vulnerability analysis, identity analytics, and risk scoring.
  • Automation & Agentic AI: Implement intelligent automation and agent-driven workflows to optimize cyber operations and reduce manual effort.
  • Data & Analytics: Engineer pipelines and analytics solutions for processing logs, telemetry, and security data to generate actionable insights.
  • Cloud & Platform Engineering: Deploy and manage scalable AI solutions in cloud-native environments using containers, APIs, and CI/CD pipelines.
  • System Integration: Integrate AI applications with enterprise and cybersecurity tools (SIEM, SOAR, IAM, data platforms).
  • Governance & Compliance: Ensure alignment with AI governance, regulatory requirements, and secure SDLC practices.
  • Collaboration: Partner with cybersecurity, engineering, data, and business teams to deliver secure, scalable AI capabilities

Basic Qualifications:

  • Bachelor's Degree or 4+ additional years of equivalent experience.
  • 8+ years of production support and design of Cyber Security technologies.
  • 8+ years of operational experience with security technologies.
  • 8+ years of implementing or utilizing technology lifecycles and best practices (SDLC lifecycle).

Preferred Qualifications

  • Experience in the implementation of cyber security tools (hardware and software)
  • Experience in participating and leading projects and implementing new technologies and solutions
  • Experience with agentic AI, Claude code, copilots, RAG architectures, and LLM orchestration frameworks
  • Experience implementing AI governance, model risk management, and security guardrails
  • Familiarity with cybersecurity platforms (SIEM, SOAR, EDR/XDR, vulnerability management, IAM tools)
  • Proficiency in modern programming languages such as Python, Java, .NET/C#, JavaScript/TypeScript, or Go, with strong API and backend development skills.
  • Demonstrated experience designing and developing RESTful APIs, microservices, and event-driven services to support enterprise AI and automation capabilities.
  • Strong hands-on software development experience with the ability to design, build, test, and deploy production-grade applications.
  • Ability to build and maintain a centralized AI agent registry that supports agent onboarding, unique agent identification, metadata management, ownership tracking, lifecycle status, versioning, and auditability.
  • Experience developing user interfaces and operational dashboards for monitoring, managing, and supporting AI agents, workflows, system health, and service activity.
  • Knowledge of data engineering, streaming analytics, and log/telemetry processing
  • Experience integrating applications with identity and access management platforms, including OAuth 2.0, OIDC, scoped tokens, service principals, managed identities, and role-based access controls.


Exempt Status: (Yes= not eligible for overtime pay) (No= eligible for overtime pay)

Yes

Workplace Type:

Remote

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.