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 ...
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 ...
Database Engineer - RAG Platform Developer
$184K - $324K/yr
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 ...
Database Engineer - RAG Platform Developer
$184K - $324K/yr
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 ...
Database Engineer - RAG Platform Developer
$184K - $324K/yr
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 ...
Database Engineer - RAG Platform Developer
$184K - $324K/yr
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 ...
AI Engineer - Agentic Systems & RAG
Austin, TX · On-site
$65 - $70/hr
The ideal candidate will have a strong developer mindset and expertise in integrating APIs and ... Implement and fine-tune RAG pipelines for contextual knowledge integration * Develop, integrate ...
Quick apply
AI Engineer - Agentic Systems & RAG
Austin, TX · On-site
$65 - $70/hr
The ideal candidate will have a strong developer mindset and expertise in integrating APIs and ... Implement and fine-tune RAG pipelines for contextual knowledge integration * Develop, integrate ...
The ideal candidate will have a strong developer mindset and expertise in integrating APIs and ... Implement and fine-tune RAG pipelines for contextual knowledge integration * Develop, integrate ...
The ideal candidate will have a strong developer mindset and expertise in integrating APIs and ... Implement and fine-tune RAG pipelines for contextual knowledge integration * Develop, integrate ...
Senior AI/LLM Engineer
Irving, TX · On-site
$100K - $137K/yr
Faithfulness Relevance NDCG MRR Trace-level RAG evaluation (Langfuse) Data Engineering & ETL Prefect 2.x / 3.x Flows, tasks, futures Deployments (YAML) Scheduling ETL/ELT design Schema evolution ...
Senior AI/LLM Engineer
Irving, TX · On-site
$100K - $137K/yr
Faithfulness Relevance NDCG MRR Trace-level RAG evaluation (Langfuse) Data Engineering & ETL Prefect 2.x / 3.x Flows, tasks, futures Deployments (YAML) Scheduling ETL/ELT design Schema evolution ...
Senior Generative AI Developer
Irving, TX · On-site
$116K - $157K/yr
Architect and develop Generative AI applications using RAG frameworks for enterprise-scale ... Exposure to CI/CD pipelines and DevOps practices.
Quick apply
Senior Generative AI Developer
Irving, TX · On-site
$116K - $157K/yr
Architect and develop Generative AI applications using RAG frameworks for enterprise-scale ... Exposure to CI/CD pipelines and DevOps practices.
Work closely with product managers, engineers, and business stakeholders to integrate AI and data ... RAG) systems. * Experience developing enterprise AI and machine learning solutions. * Strong ...
Work closely with product managers, engineers, and business stakeholders to integrate AI and data ... RAG) systems. * Experience developing enterprise AI and machine learning solutions. * Strong ...
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 ...
Quick apply
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 ...
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:
Quick apply
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:
Sr. Generative AI Developer
Dallas, TX · On-site
$120K - $161K/yr
Sr. Generative AI Developer Location: Dallas TX/ Tampa FL/ New Jersey - Hybrid Fulltime/FTE Salary ... Key Responsibilities Architect and develop Generative AI applications using RAG frameworks for ...
Sr. Generative AI Developer
Dallas, TX · On-site
$120K - $161K/yr
Sr. Generative AI Developer Location: Dallas TX/ Tampa FL/ New Jersey - Hybrid Fulltime/FTE Salary ... Key Responsibilities Architect and develop Generative AI applications using RAG frameworks for ...
Lead .Net Full Stack Developer
Austin, TX · On-site
$58.50 - $76.50/hr
Agentic AI, RAG, Vector Databases, Prompt Engineering
Lead .Net Full Stack Developer
Austin, TX · On-site
$58.50 - $76.50/hr
Agentic AI, RAG, Vector Databases, Prompt Engineering
Senior Python Full stack developer
Austin, TX · On-site
$120K - $162K/yr
ClifyX is a company seeking a Senior Python Full Stack Developer ... The role involves expertise in Red teaming, RAG pipelines, and API automation testing.
Senior Python Full stack developer
Austin, TX · On-site
$120K - $162K/yr
ClifyX is a company seeking a Senior Python Full Stack Developer ... The role involves expertise in Red teaming, RAG pipelines, and API automation testing.
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 ...
Quick apply
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 ...
Developer III
Richardson, TX · Hybrid
$129K - $220K/yr
You will work with foundation models, create robust prompting and RAG pipelines, integrate agentic ... Prompt Engineering * Develop reliable, optimized prompts for various generative AI use cases.
Developer III
Richardson, TX · Hybrid
$129K - $220K/yr
You will work with foundation models, create robust prompting and RAG pipelines, integrate agentic ... Prompt Engineering * Develop reliable, optimized prompts for various generative AI use cases.
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 ...
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 ...
Python developer - Dallas, Tx
$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 ...
Python developer - Dallas, Tx
$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 ...
AI Developer
Austin, TX · On-site
Implement AI integration patterns such as retrievalaugmented generation (RAG), tool/function ... Use Azure DevOps and GitHub for source control, pull requests, code reviews, branching strategies ...
AI Developer
Austin, TX · On-site
Implement AI integration patterns such as retrievalaugmented generation (RAG), tool/function ... Use Azure DevOps and GitHub for source control, pull requests, code reviews, branching strategies ...
Innovation AI Developer
Houston, TX · On-site
... RAG), classical machine learning, and modern cloud architectures to drive efficiency, quality, and ... advanced engineering and high-impact legal work. • AI Solution Architecture & Development ...
Innovation AI Developer
Houston, TX · On-site
... RAG), classical machine learning, and modern cloud architectures to drive efficiency, quality, and ... advanced engineering and high-impact legal work. • AI Solution Architecture & Development ...
Software Developer(AI/ML)
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 ...
Software Developer(AI/ML)
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 ...
Rag Developer information
What engineers make $500,000?
Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.
What is the difference between Rag Developer vs Textile Technician?
| Aspect | Rag Developer | Textile Technician |
|---|---|---|
| Credentials | Typically requires a diploma or degree in textiles or related field | Requires similar qualifications, often with additional certifications in textile testing |
| Work Environment | Factories, textile mills, production plants | Laboratories, quality control departments, manufacturing facilities |
| Industry Usage | Used in textile manufacturing to develop and process rags for reuse or recycling | Involved 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 does a RAG engineer do?
A RAG (Red, Amber, Green) engineer develops and maintains systems that use RAG status indicators to monitor project or system health. They often work with data visualization tools, automate status reporting, and analyze performance metrics to support decision-making. Strong skills in data analysis, programming, and understanding of project management are typically required.
What is a $900000 AI job?
A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in programming, data analysis, and experience with AI frameworks, and they may involve leadership responsibilities or specialized expertise in cutting-edge AI technologies.
Which 3 jobs will survive AI?
For a Rag Developer, roles that require complex manual craftsmanship, creative problem-solving, and specialized knowledge are more likely to persist despite AI advancements. Jobs involving intricate textile design, custom tailoring, and quality inspection rely on human skills and judgment that AI cannot fully replicate. Developing expertise in these areas, along with staying updated on industry tools, can help ensure job security.
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:
Apple rating
8.0
Based on 673 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
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
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