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Ai Rag Jobs in Austin, 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 ...

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 ...

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 ...

Vancor AI LLC

AI/ML Engineer

Austin, TX · On-site

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 ...

Apple

CAD Engineer - Signoff Infrastructure

Austin, TX

$129K - $194K/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 help develop ...

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 ...

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All JobsAi Rag JobsAi Rag Jobs in Austin, TX

Ai Rag information

See Austin, TX salary details

$31.7K

$57.7K

$82.8K

How much do ai rag jobs pay per year?

As of Sep 11, 2026, the average yearly pay for ai rag in Austin, TX is $57,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,600.00 and $64,400.00 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 Austin, TX?

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

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

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

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

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

Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Austin, TX as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $57,733 per year, or $27.8 per hour.

Artificial Intelligence / Machine Learning Engineer NEW

Austin, TX • On-site

Dutech Systems
IT Services • 51 - 200 employees
Learn more about Dutech Systemsexternal

Other

Posted 10 days ago

Job description

We are seeking an experienced Senior Generative AI / Agentic AI Engineer to design, develop, and implement AI-powered solutions using Generative AI, Agentic AI, RAG, Custom GPTs, and workflow automation. The ideal candidate will have strong Python development skills and experience translating business requirements into scalable AI solutions. This role will also involve customer engagement, technical training, solution design, and collaboration with cross-functional teams.

Key Responsibilities
  • Design and develop Agentic AI solutions and intelligent workflow automation.
  • Build and deploy Generative AI applications, including Custom GPTs and AI assistants.
  • Develop Retrieval-Augmented Generation (RAG) solutions for enterprise use cases.
  • Develop scalable and maintainable applications using Python.
  • Design AI solutions based on business and customer requirements.
  • Integrate AI models, APIs, data sources, and enterprise systems into production workflows.
  • Evaluate AI solutions for accuracy, performance, reliability, and scalability.
  • Work directly with customers and stakeholders to understand business challenges and identify AI opportunities.
  • Conduct customer demonstrations, training sessions, and technical workshops.
  • Create technical documentation, architecture diagrams, solution designs, and implementation plans.
  • Collaborate with engineering, product, data, and business teams to deliver AI solutions.
  • Stay current with emerging Generative AI, Agentic AI, RAG, LLM, and automation technologies.
Required Qualifications
  • 8+ years of professional technology or software development experience.
  • Strong hands-on experience with Agentic AI and workflow automation.
  • Experience developing Generative AI solutions and Custom GPTs.
  • Strong Python development experience.
  • Hands-on experience designing and implementing RAG architectures.
  • Strong solution architecture and AI solution design skills.
  • Experience engaging with customers and delivering technical training or demonstrations.
  • Strong understanding of LLMs, prompt engineering, AI agents, APIs, and enterprise AI applications.
  • Excellent communication, analytical, and problem-solving skills.
Preferred Qualifications
  • Experience implementing enterprise-scale AI solutions.
  • Experience with AI agent frameworks and workflow automation platforms.
  • Experience with vector databases, embeddings, and knowledge retrieval systems.
  • Experience integrating LLMs with enterprise applications and data sources.
  • Experience creating training materials and conducting customer enablement sessions.
  • Experience designing end-to-end AI architectures and proof-of-concept solutions.
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