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Rag Engineer Jobs in Austin, TX (NOW HIRING)

Tata Consultancy Service Limited

AI Engineer

Austin, TX · On-site

$100K - $130K/yr

... loops, RAG pipelines, and tool-calling architectures - Experience designing multi-agent systems and integrating LLMs with internal/external APIs Added Advantage: AI platform/developer tooling ...

IT America Inc

Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Design and deploy Generative AI and RAG based solutions using Databricks Mosaic AI and Vector ... Mentor data engineers, analysts, and architects on Databricks technologies and platform adoption.

Purview Services

AI Software Engineer

Austin, TX · On-site

AI Software Engineer Work Model: Dallas, TX | Austin, TX | San Francisco, CA (Onsite-4 Days ... Develop and optimize Retrieval-Augmented Generation (RAG) systems * Build AI agents, workflow ...

Service Global, Inc

AI Engineer

Austin, TX · On-site

AI Engineer Location: Remote - Skills: * Strong backend engineering in TypeScript/Node.js ... Has built LLM harnesses/scaffolds with agentic loops, RAG pipelines, and tool-calling architectures

Optimizely

Forward Deployed Engineer

Austin, TX

Familiarity with RAG concepts and experience with building tools/applications for RAG workflows (e.g., interacting with vector databases, embedding services, prompt engineering). Prompting ...

Damco Solutions

AI Engineering Leader

Austin, TX · On-site

$101K - $133K/yr

Agent and RAG evaluation frameworks • Strong programming skills in: Python (must-have) • ... Experience with: API development and system integration • Strong experience with: AWS cloud ...

David Joseph & Company

Product Engineer

Austin, TX · Hybrid

$130K - $150K/yr

Learners build using AI tools like Claude Code, Cursor, LangChain, and RAG, with a portfolio ... Education The Role The client is hiring a Senior Product Engineer who owns user-facing problems end ...

Vancor AI LLC

AI/ML Engineer

Austin, TX · On-site

$120 - $190/hr

You'll work on models, RAG pipelines, evaluation, and MLOps for enterprise workloads. You'll work ... Own delivery across ai/ml engineer initiatives from design through production * Collaborate with ...

Donato Technologies, Inc

AI/ML Engineer

Austin, TX · On-site

AI Agent Engineer Designs and develops AI-driven agentic solutions, including autonomous workflows and Retrieval-Augmented Generation (RAG) systems, to enhance productivity, automate processes, and ...

Vkore Solutions

GenAI Engineer-W2

Austin, TX · On-site

We are looking for a GenAI Ops Engineer to train, fine-tune, and deploy Generative AI models (LLMs ... Manage datasets, preprocess data, and implement RAG with vector databases (FAISS, Chroma, Pinecone)

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Rag Engineer information

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$59K

$89.7K

$152.2K

How much do rag engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for rag engineer in Austin, TX is $89,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $104,100.00 per year, depending on experience, location, and employer.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

How to become a rag engineer?

To become a rag engineer, you typically need a bachelor's degree in engineering, materials science, or a related field. Relevant skills include knowledge of manufacturing processes, quality control, and proficiency with industry tools and equipment; certifications in quality management or safety can also be beneficial. Gaining experience through internships or entry-level positions in manufacturing environments is important for career advancement.

What are popular job titles related to Rag Engineer jobs in Austin, TX?

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

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

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

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

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

Rag Engineer jobs near you

Database Engineer - RAG Platform Developer

Austin, TX • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees

8.1

Company rating: 8.1 out of 10

Based on 678 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

People enjoy working here

Good employer

Recommended by students

Learn more about Appleexternal

Full-time

Re-posted 23 days ago

Job description

We're seeking a Database Engineer to architect and optimize our large-scale RAG (Retrieval-Augmented Generation) platform that serves our users across all of the Hardware Tech group. This role combines deep database expertise with modern AI/ML infrastructure, enabling design teams to seamlessly onboard and query enterprise-scale datasets. You'll be responsible for database architecture and optimization while also contributing to full-stack GenAI application development.
Description
As a Database Engineer on our team, you will architect and optimize our SQL and vector database infrastructure supporting enterprise-scale design data. You'll lead technical decisions on database architecture, scaling patterns, and technology selection for our RAG platform while designing comprehensive strategies to ensure optimal performance. Working closely with the development team, you'll build and refine data ingestion pipelines that enable design teams across all disciplines to seamlessly onboard their data. You'll collaborate with DevOps/SRE teams to ensure quality of service, proper resource allocation, and system scalability while improving RAG retrieval performance through hybrid search strategies, index tuning, and embedding optimization. In addition to your primary database focus, you'll contribute to full-stack development using Python and JavaScript, monitor database health and performance metrics for our multi-tenant system, and develop and maintain database operations procedures, monitoring, and disaster recovery strategies while driving continuous improvement of retrieval quality, search latency, and overall system reliability. You'll also provide mentorship to other engineers on database best practices and scalable design patterns.
Minimum Qualifications
Proficiency in Python or Javascript.
Production experience deploying and managing vector databases (Milvus, Qdrant, or Weaviate) at scale
Experience with PostgreSQL or MySQL in production environments
Understanding of RAG pipelines, including embedding strategies, chunking, and retrieval optimization
Minimum requirement of BS + 10 years of relevant industry experience
Preferred Qualifications
Understanding of Vector database indexing strategies and tradeoffs
Strong SQL proficiency with deep understanding of query planning, indexing strategies, and optimization techniques
Postgres advanced features (extensions, replication, sharding)
Experience managing large-scale databases serving high-concurrency workloads
Experience with embedding models and LLM integration patterns
Demonstrated experience building or optimizing RAG systems in production environments
Collaborative mindset with ability to mentor engineers and work closely with DevOps/SRE teams
Monitoring and observability tools (Prometheus, Grafana)
Kubernetes experience, particularly with stateful applications and database deployments
Proven ability to make architectural decisions for scalable database systems
Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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Benefits

Hours and flexibility

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