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Remote Rag Jobs in Texas (NOW HIRING)

AI Engineer

Austin, TX ยท On-site +1

$140K - $200K/yr

Remote (United States) Compensation: $140,000 - $200,000 base Visa Sponsorship: None available ... Architect and implement robust RAG workflows -- vector database management, embedding optimization ...

... Collaborate on RAG pipelines and knowledge graph integration for LLM-based systems. - Ensure ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

... Collaborate on RAG pipelines and knowledge graph integration for LLM-based systems. - Ensure ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

... Collaborate on RAG pipelines and knowledge graph integration for LLM-based systems. - Ensure ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

AI Engineer

Addison, TX ยท On-site +1

$110K - $140K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... Build advanced RAG systems with vector databases, hybrid search (dense + sparse retrieval), and ...

USA_Artificial Intelligence Engineer

Frisco, TX ยท On-site +1

$114K - $151K/yr

Bellevue, WA (Hybrid - 3 days/week) or Remote Role Overview We're building a new product in the ... Evaluate and apply new technologies in LLMs , Retrieval-Augmented Generation (RAG) , and agentic AI ...

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Remote Rag information

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 are popular job titles related to Remote Rag jobs in Texas? For Remote Rag jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Rag jobs in Texas look for? The top searched job categories for Remote Rag jobs in Texas are:
What cities in Texas are hiring for Remote Rag jobs? Cities in Texas with the most Remote Rag job openings:
Infographic showing various Remote Rag job openings in Texas as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution.

Senior AI Engineer - Agentic Systems and LLM

Vytwo

Prosper, TX โ€ข Remote

$60/hr

Full-time

Posted 19 days ago


Job description

Role: Senior AI Engineer - Agentic Systems and LLM
Client Location: Mason, OH
100% Remote

Job Description:
We are seeking a senior AI engineer to design and build production-grade LLM-powered applications and agentic systems.
This role owns the end-to-end development of intelligent solutionsfrom architecture to deploymentleveraging Python, modern LLM frameworks, and scalable system design.
Required Skills - AI, LLM, Agentic (Python)
Job Duties -
  • Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python Design and implement RAG pipelines over enterprise data using embeddings and vector databases
  • Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain.
  • Integrate AI systems with APIs, backend services, and cloud platforms
  • Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)
Job Requirements -
  • 2/3 years hand-on experience developing Agentic workflows
  • Strong Python expertise with experience building and deploying production-grade backend systems
  • Hands-on experience developing applications using LLMs, including prompt engineering and orchestration Proven experience with RAG architectures, embeddings, and vector databases
  • Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen)
  • Strong system design skills with experience building and scaling cloud-based applications
Desired Skills & Experience -
  • Experience working in healthcare insurance payer space (payer domain knowledge)
  • Ideally someone onsite 3x week but very open to 100% remote for the right candidate One

This is a remote position.