ZipRecruiter

Log In

1

Rag Developer Jobs in Texas (NOW HIRING)

Marencor

Python Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

... RAG systems * 1+ year experience with vector databases such as MongoDB Atlas or Pinecone ... DevOps with GitHub Actions or similar CI/CD tools. * 1+ years of writing and deploying ...

Addison Group

AI Developer

The Woodlands, TX · On-site

$100K - $120K/yr

Agentic AI: Experience building and orchestrating single‑agent and multi‑agent systems, including prompt engineering, RAG pipelines, and agent decision logic. * Integration Development:

BeaconFire Inc.

Gen AI Python Developer

Austin, TX · On-site

$49.75 - $68.50/hr

Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, * embeddings, indexing ... Strong engineering practices: code reviews, testing, telemetry, secure-by-design, * reliability ...

Saransh Inc

Conversational AI Developer

Irving, TX · On-site

Conversational AI Developer Locations: Irving/Dallas, Texas & Jacksonville Florida Duration ... Leverage LLMs and RAG: Utilize and fine-tune large language models (LLMs) and implement Retrieval ...

Info Way Solutions

GenAI & ML Developer

Austin, TX · On-site

... RAG) systems to improve AI-generated outputs. • Implement and integrate automated red-teaming ... Engineering and LLM fine-tuning. • Hands-on experience with automated AI red-teaming tools such ...

Photon

Python developer - Dallas, Tx

Dallas, TX · On-site

$49.75 - $68.50/hr

RAG Implementation: Build and optimize Retrieval-Augmented Generation (RAG) pipelines leveraging vector databases and enterprise knowledge sources. Platform Engineering: Develop resilient, high ...

next page

Showing results 1-20

All JobsRag Developer JobsRag Developer Jobs in Texas

Rag Developer information

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

What are popular job titles related to Rag Developer jobs in Texas?

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

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

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

What cities in Texas are hiring for Rag Developer jobs?

Cities in Texas with the most Rag Developer job openings:

Rag Developer jobs near you
Infographic showing various Rag Developer job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Database Engineer - RAG Platform Developer

Apple

Austin, TX • On-site

Full-time

Re-posted 19 hours ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 680 frontline employees who took The Breakroom Quiz

6th 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

View All Apple Jobs

Apply