ZipRecruiter

Log In

1

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:

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 ...

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 ...

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 ...

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 ...

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 ...

Itron, Inc

AI Developer

Austin, TX

Implement AI integration patterns such as retrievalaugmented generation (RAG), tool/function calling, and agentbased workflows into applications and internal tooling. * Create and maintain API ...

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 ...

next page

Showing results 1-20

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 Aug 8, 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 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 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 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 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 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 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $57,733 per year, or $27.8 per hour.

AI Engineer - Agentic Systems & RAG

Lorven Technologies

Austin, TX • On-site

Full-time

Re-posted 18 days ago

Job description

Job Title: AI Engineer - Agentic Systems & RAG
Location : Austin/Charlotte/NYC
Experience: 3-7 years
Industry: Technology / AI / Digital Platforms
Job Summary:
We are seeking a highly skilled AI Engineer with hands-on experience in agent development, Retrieval-Augmented Generation (RAG), agentic workflows, and platforms such as Cursor AI. The ideal candidate will have a strong developer mindset and expertise in integrating APIs and building intelligent systems that can reason, act, and interact across tools and data sources.
Key Responsibilities:
  • Design, develop, and optimize AI agents capable of reasoning, decision-making, and tool usage
  • Implement and fine-tune RAG pipelines for contextual knowledge integration
  • Develop, integrate, and manage agentic workflows across APIs, vector stores, and third-party tools
  • Leverage Cursor AI and similar platforms to prototype and deploy agent-based applications
  • Collaborate with product teams to implement AI-driven features with seamless developer experience
  • Build scalable APIs for model access, integration, and service orchestration
  • Stay updated with the latest in LLMs, agent orchestration frameworks, and AI tooling

Required Skills & Qualifications:
  • Strong programming skills in Python or equivalent (Go/Node.js is a plus)
  • Experience in developing autonomous agents and agentic workflows using frameworks like LangChain, AutoGen, or similar
  • Hands-on with Cursor AI for development, debugging, and agent orchestration
  • Experience building and consuming RESTful APIs
  • Proficiency in RAG architectures, including vector stores (e.g., FAISS, Pinecone, Weaviate), embedding models, and retrieval tuning
  • Experience with prompt engineering, tool calling, and multi-agent collaboration setups
  • Solid understanding of LLMs, their fine-tuning strategies, and evaluation frameworks
Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

Social media

FacebookTwitter

View All Lorven technologies Jobs

Apply