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Rag Engineer Jobs in Texas (NOW HIRING)

Apple

Database Engineer - RAG Platform Developer

Austin, TX

$184K - $324K/yr

  • Medical

  • Dental

  • Retirement

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 ...

Apple

Database Engineer - RAG Platform Developer

Austin, TX

$184K - $324K/yr

  • Medical

  • Dental

  • Retirement

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 ...

Amsys Innovative Solutions

AI Engineer

Houston, TX · On-site

Overview Seeking an AI Engineer to design, develop, and deploy scalable enterprise AI solutions ... Build and deploy AI/ML, LLM, and RAG-based solutions. * Design secure, scalable AI architectures.

Kaleidoscope

AI Engineer

Fort Worth, TX · On-site

$117K - $154K/yr

Implement Graph RAG solutions by integrating knowledge graphs, entity extraction, relationship ... Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake ...

INFOSYS NOVA HOLDINGS LLC

AI Engineer

Fort Worth, TX · On-site

$114K - $150K/yr

Implement Graph RAG solutions by integrating knowledge graphs, entity extraction, relationship ... Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake ...

Socket.dev

Gen. AI Engineer

Fort Worth, TX · On-site

$180 - $240/hr

Design and develop enterprise Generative AI applications using LLMs, RAG, Graph RAG, and ... Collaborate with product, engineering, architecture, and business stakeholders to deliver ...

New

Wise Equation Solutions Inc.

AI/ML Engineer

Dallas, TX · On-site

We are seeking an AI ML Engineer to design, develop, and deploy Generative AI applications, with a focus on Retrieval-Augmented Generation (RAG) and agentic workflows. The ideal candidate will have ...

Precision Technologies Corp

AI Engineer

Dallas, TX · On-site

Contract Key Skills - AI, Python, Rag, LLM Overview We are seeking an AI Engineer with proven experience in building and scaling AI-powered applications . This role combines hands-on development with ...

INFOSYS NOVA HOLDINGS LLC

Gen. AI Engineer

Fort Worth, TX · On-site

$100K - $160K/yr

This is a hands-on engineering role focused on building production-ready AI platforms from ... Design and develop enterprise Generative AI applications using LLMs, RAG, Graph RAG, and multi ...

Worky

Gen. AI Engineer

Fort Worth, TX · On-site

$140 - $260/hr

This is a hands-on engineering role focused on building production-ready AI platforms from ... Design and develop enterprise Generative AI applications using LLMs, RAG, Graph RAG, and multi ...

New

United IT Solutions

AI Engineer

Plano, TX · On-site

Mandatory: * 3-6+ years in ML/AI with strong python hands-on programming (4-5 years) * Extensive ... Hands on RAG implementation including vectorDBs

Vastika Inc.

AI Engineer

Grand Prairie, TX · On-site

AI Engineer Location: Grand-Prairie, Texas 75050 Work Model: Onsite (4 days a week work from office ... RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and ...

New

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All JobsRag Engineer JobsRag Engineer Jobs in Texas

Rag Engineer information

See Texas salary details

$55.4K

$84.3K

$143K

How much do rag engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for rag engineer in Texas is $84,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,800.00 and $97,800.00 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 Texas?

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

What job categories do people searching Rag Engineer jobs in Texas look for?

The top searched job categories for Rag Engineer jobs in Texas are:

What cities in Texas are hiring for Rag Engineer jobs?

Cities in Texas with the most Rag Engineer job openings:

Rag Engineer jobs near you
Infographic showing various Rag Engineer job openings in Texas as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $84,325 per year, or $40.5 per hour.

Database Engineer - RAG Platform Developer

Apple, Inc.

Austin, TX • On-site

Other

Re-posted 15 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

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

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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