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

Gigapower

Embedded AI Engineer - Finance

Dallas, TX · On-site +1

$130K - $171K/yr

Virtual (Remote) Position Type: PW Who We Are Gigapower is building next-generation fiber broadband ... RAG applications, agents, copilots, and internal productivity tools. • Develop solutions that ...

Gigapower

Embedded AI Engineer - Engineering

Dallas, TX · Remote

$134K - $177K/yr

Virtual (Remote) Position Type: PW Who We Are Gigapower is building next-generation fiber broadband ... RAG) applications, intelligent agents, copilots, and internal engineering tools. · Develop ...

New

Gigapower

Embedded AI Engineer - Engineering

Dallas, TX · On-site +1

$130K - $171K/yr

Virtual (Remote) Position Type: PW Who We Are Gigapower is building next-generation fiber broadband ... RAG) applications, intelligent agents, copilots, and internal engineering tools. • Develop ...

Gigapower

Embedded AI Engineer - Finance

Dallas, TX · Remote

$134K - $177K/yr

Virtual (Remote) Position Type: PW Who We Are Gigapower is building next-generation fiber broadband ... RAG applications, agents, copilots, and internal productivity tools. · Develop solutions that ...

New

Gigapower

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Virtual (Remote) Who We Are Gigapower is building next-generation fiber broadband infrastructure ... generation (RAG), AI search, analytics, and machine learning applications. • Establish and ...

Gigapower

Embedded AI Engineer - IT

Dallas, TX · On-site +1

Virtual (Remote) Position Type: PW Who We Are Gigapower is building next-generation fiber broadband ... RAG applications, agents, copilots, and internal productivity tools. • Develop solutions that ...

Gigapower

Data Engineer

Dallas, TX · Remote

$117K - $140K/yr

Virtual (Remote) Who We Are Gigapower is building next-generation fiber broadband infrastructure ... generation (RAG), AI search, analytics, and machine learning applications. · Establish and ...

New

Gigapower

Embedded AI Engineer - IT

Dallas, TX · Remote

Virtual (Remote) Position Type: PW Who We Are Gigapower is building next-generation fiber broadband ... RAG applications, agents, copilots, and internal productivity tools. · Develop solutions that ...

New

The Mutual Group

Lead AI Engineer - AWS Platform

Dallas, TX · On-site +1

$130K - $190K/yr

Build RAG pipelines using vector databases and enterprise data sources * Build machine learning ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

4MindsAI Inc.

General Interest

Dallas, TX · On-site +1

... RAG-based systems. Why Join 4Minds: We're building the future of enterprise AI, and we're always ... Dallas HQ for our Builders and Remote for our teams supporting our customers * Monthly team events ...

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Remote Rag information

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How much do remote rag jobs pay per hour?

As of Aug 14, 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?

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 Red Oak, TX look for?

The top searched job categories for Remote Rag jobs in Red Oak, TX are:

What cities near Red Oak, TX are hiring for Remote Rag jobs?

Cities near Red Oak, TX with the most Remote Rag job openings:

Remote Rag jobs near you

Forward Deployed Engineer (FDE)

ConglomerateIT LLC

Dallas, TX • Remote

Contractor

Re-posted 9 days ago

Job description

Job Title: Forward Deployed Engineer (AI Systems)
Location: Remote

About the Role

We're looking for an engineer who lives in the code — someone who can architect, ship, and operate AI-first systems inside large enterprise environments. You'll be building agent-driven workflows from the ground up, wiring together modern AI platforms, and standing up cloud-native solutions built to scale in production.

What You Bring

Must-Have

  • 8–10+ years building software professionally
  • Deep background in cloud-native engineering — APIs, microservices, containerized workloads, serverless
  • Proven track record shipping AI/LLM systems to production, including agents, RAG pipelines, and orchestration layers
  • Strong command of Python, Java, or a comparable backend language
  • Working fluency with CI/CD pipelines, infrastructure as code, and observability/monitoring stacks

Nice-to-Have

  • Hands-on time with agent frameworks such as LangGraph, AutoGen, or CrewAI
  • Experience designing multi-agent or distributed AI architectures
  • Background integrating systems at enterprise scale
  • Track record tuning AI workloads for cost efficiency and speed
  • Direct experience with platforms like OpenAI, Claude, or Vertex AI

What You'll Do

Platform & Model Integration

  • Connect applications to AI providers including OpenAI, Anthropic, Google Vertex, and open-source models
  • Architect abstraction layers that support multi-model, multi-provider setups
  • Tune model consumption to balance latency, cost, and output quality

Application Engineering

  • Ship AI-powered applications mapped directly to real business workflows
  • Embed AI capabilities into existing enterprise platforms and API ecosystems
  • Stand up backend services and APIs that power agent-driven processes

Agent Development

  • Build and deploy AI agents covering retrieval (RAG), orchestration workflows, tool/function invocation, and policy-based routing
  • Create evaluation frameworks measuring accuracy, latency, and reliability
  • Instrument observability and monitoring across the full agent lifecycle

Cloud-Native Engineering

  • Develop scalable services on microservices architecture, containers (Docker, Kubernetes), and serverless/event-driven patterns
  • Own CI/CD pipelines and infrastructure as code using Terraform and Helm
  • Harden systems for production — logging, monitoring, fault tolerance

Performance & Optimization

  • Benchmark systems across latency, throughput, accuracy, and cost
  • Diagnose and resolve issues in live production environments

Role Expectations

This is a 100% individual-contributor engineering position — no people management. You'll deliver production-quality code, operate within established architecture and engineering standards, partner with client-side and internal engineering teams, and contribute to implementation-focused technical design conversations.

 

Founded in 2014, ConglomerateIT is a global leader in delivering innovative IT solutions and services. Headquartered in the USA with a presence in the UK, Canada, and India, we specialize in offering industry-leading expertise and cutting-edge products that help our clients maximize their technological investments. Our focus on best-in-class solutions, a highly knowledgeable team, and proactive talent mapping ensure we remain at the forefront of the IT industry.

ConglomerateIT is driven by our Center for Excellence and Innovation, an initiative dedicated to keeping us ahead in a rapidly evolving technology landscape. We understand that building strong relationships is key to our success, and this commitment has enabled us to partner with Fortune 500 companies and leading system integrators worldwide. Our ability to provide local talent on a global scale ensures that we can meet the contingent project requirements of our clients efficiently and effectively.