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Ai Rag Jobs in Round Rock, TX (NOW HIRING)

Addison Group

Senior Full Stack AI Engineer

Austin, TX · Remote

$85 - $95/hr

Develop intelligent agents, copilots, knowledge management systems, and Retrieval-Augmented Generation (RAG) solutions. * Integrate AI applications with enterprise systems, databases, APIs, SaaS ...

Hp

Principal Data Privacy Architect

Austin, TX · On-site

Design privacy guardrails for AI agents, generative AI, RAG pipelines, model inputs and outputs, embeddings, vector stores, and automated data workflows. Reduce Risk While Enabling Innovation:

LPL Financial

Principal AI Architect

Austin, TX · On-site

Define reference architectures for Generative AI, Agentic AI, RAG, MCP, and Multi-Agent solutions. * Design and govern core platform services including: * Model, Agent, Prompt, and Tool Registries

Apple

CAD Engineer - Signoff Infrastructure

Austin, TX · On-site

You'll also participate in the development of our Signoff AI assistant and integrate modern AI/RAG capabilities into our platform. Description The Signoff Infrastructure developer will help develop ...

YO AI Labs

AI/ML Engineer - Remote

Austin, TX · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

New

Apple

CAD Engineer - Signoff Infrastructure

Austin, TX

$150K - $277K/yr

You'll also participate in the development of our Signoff AI assistant and integrate modern AI/RAG capabilities into our platform. Description The Signoff Infrastructure developer will develop ...

Apple

CAD Engineer - Signoff Infrastructure

Austin, TX

$150K - $277K/yr

You'll also participate in the development of our Signoff AI assistant and integrate modern AI/RAG capabilities into our platform. Description The Signoff Infrastructure developer will develop ...

Vancor AI LLC

AI/ML Engineer

Austin, TX · On-site

$120 - $190/hr

Join Vancor AI as a AI/ML Engineer ... You'll work on models, RAG pipelines, evaluation, and MLOps for enterprise workloads. You'll work ...

Damco Solutions

AI Engineering Leader

Austin, TX · On-site

$101K - $133K/yr

... Generation (RAG) pipelines • GraphRAG implementations • Autonomous agent workflows and ... NET (preferred) • Build scalable AI services with: • REST APIs • Microservices architecture ...

Autonomize AI

ML/LLM Engineer - Applied AI

Austin, TX · On-site

... RAG, scoring, summarization, etc.) • Fine-tune and evaluate LLMs using both open-source and ... Autonomize AI uses AI Agents to simplify some of healthcare's most complex processes, transforming ...

Purview Services

AI Software Engineer

Austin, TX · On-site

Develop and optimize Retrieval-Augmented Generation (RAG) systems * Build AI agents, workflow automation solutions, and intelligent assistants * Integrate LLMs such as OpenAI, Claude, Gemini, and ...

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All JobsAi Rag JobsAi Rag Jobs in Round Rock, TX

Ai Rag information

See Round Rock, TX salary details

$29.8K

$54.3K

$77.9K

How much do ai rag jobs pay per year?

As of Aug 28, 2026, the average yearly pay for ai rag in Round Rock, TX is $54,316.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,700.00 and $60,600.00 per year, depending on experience, location, and employer.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What are popular job titles related to Ai Rag jobs in Round Rock, TX?

For Ai Rag jobs in Round Rock, TX, the most frequently searched job titles are:

What job categories do people searching Ai Rag jobs in Round Rock, TX look for?

The top searched job categories for Ai Rag jobs in Round Rock, TX are:

What cities near Round Rock, TX are hiring for Ai Rag jobs?

Cities near Round Rock, TX with the most Ai Rag job openings:

Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Round Rock, TX as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 60% Physical, 3% Hybrid, and 37% Remote job distribution, with an average salary of $54,316 per year, or $26.1 per hour.

Senior Full Stack AI Engineer

Austin, TX • Remote

Addison Group
See more jobs at Addison Groupexternal

$85 - $95/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 27 days ago

Job description

Position: Senior Full Stack AI Engineer

Location: Austin, TX - must be local and onsite 4 days per week

Duration: 6 month with potential to extend

Compensation: $85-95/HR

Work schedule: Monday-Thursday (8 AM-5PM CST) onsite; Fridays remote.

Benefits: This position is eligible for medical, dental, vision and 401(k).

Overview

We are seeking a Senior Full Stack AI Engineer to lead the design, development, and deployment of enterprise-scale AI applications. This role will drive architecture decisions, mentor engineering teams, and deliver innovative solutions leveraging Large Language Models (LLMs), cloud platforms, and modern full-stack technologies.

Key Responsibilities

  • Design, build, and support AI-powered applications using LLMs, generative AI platforms, and agentic workflows.
  • Architect and develop scalable backend services using Python and modern frameworks such as FastAPI, Flask, or Django.
  • Build and maintain responsive, user-focused applications using React, Next.js, Angular, or similar front-end technologies.
  • Design and govern APIs, microservices, authentication, and authorization solutions.
  • Develop intelligent agents, copilots, knowledge management systems, and Retrieval-Augmented Generation (RAG) solutions.
  • Integrate AI applications with enterprise systems, databases, APIs, SaaS platforms, and cloud services.
  • Establish engineering standards, conduct code reviews, and mentor team members.
  • Lead AI model evaluation, optimization, observability, and governance initiatives.
  • Ensure compliance with security, privacy, and responsible AI best practices.
  • Collaborate with business and technical stakeholders to translate requirements into scalable solutions.

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related field (Master's preferred).
  • 8+ years of software engineering experience, including 4+ years developing AI/ML products.
  • Proven experience designing and deploying enterprise-scale AI solutions.
  • Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud.
  • Experience with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or similar.
  • Strong understanding of LLMs, Generative AI, RAG architectures, prompt engineering, and AI agents.
  • Experience with relational, NoSQL, and vector databases.
  • Familiarity with model evaluation, AI governance, observability, and security practices.
  • Experience building and consuming RESTful APIs and microservices.

Technical Skills

  • Expert-level Python development.
  • Proficiency with React, Next.js, Angular, JavaScript, TypeScript, HTML, and CSS.
  • Strong API and microservices development experience.
  • Experience integrating AI models and third-party services into production applications.
  • Knowledge of CI/CD pipelines, automated testing, and source control best practices.
  • Strong troubleshooting, performance tuning, and problem-solving skills.

Leadership & Collaboration

  • Ability to lead technical initiatives and influence architecture decisions.
  • Experience mentoring engineers and promoting development best practices.
  • Strong communication skills with the ability to engage both technical and non-technical stakeholders.
  • Ability to translate complex business needs into technical solutions and engineering roadmaps.

This is an opportunity to help shape the future of AI-driven products while working across the full technology stack to deliver innovative, scalable solutions.

Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.