ZipRecruiter

Log In

1

Rag Developer Jobs in Addison, TX (NOW HIRING)

smiledoctors

AI Developer

Dallas, TX

The AI Developer is responsible for designing, building, and maintaining AI agents, copilots, and ... Develop and tune prompts, RAG pipelines, knowledge grounding, and tool/function integrations for ...

InfoVision, Inc.

AI Developer

Irving, TX · On-site

Experience: 11+ years of software engineering experience, ideally split between heavy backend ... Practical experience integrating LLM APIs, building RAG systems, and writing optimized prompts for ...

United IT Solutions

Developers HCL

Irving, TX · On-site

Role: Forge Developers HCL Location - Texas preferred but remote is acceptable. Work with AI ... Integrate AI models (RAG, LLMs) into Jira and Confluence to enhance workflows

Virtual Networx

Gen AI/ ML Engineer

Dallas, TX · On-site

GPT, LLaMA, Claude, BERT, PEFT/LoRA, LangChain, RAG Pipelines, Vector Databases, Semantic Search, Azure, Docker * Generative AI & LLMs: GPT, LLaMA, Claude, BERT, PEFT/LoRA, Prompt Engineering

Husch Blackwell Llp

Software Developer

Dallas, TX · On-site +1

The Software Developer designs, develops, and deploys modern, AI-driven solutions that enhance ... Retrieval-Augmented Generation (RAG) architectures * AI agents and orchestration frameworks

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 ...

Omni Inclusive

AI Lead Developer

Frisco, TX · On-site

$55.25 - $72.50/hr

Lead Developer In Artificial Intelligence (AI) We are seeking a highly skilled and experienced Lead ... Knowledge of Neural networks, NLP, GenAI concepts such as RAG & Lang chain, multiagent systems is ...

next page

Showing results 1-20

All JobsRag Developer JobsRag Developer Jobs in Addison, TX

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?

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 job makes $10,000 a month without a degree?

A Rag Developer, or similar specialized freelance or contract roles in software development, can earn $10,000 or more per month without a formal degree by demonstrating strong coding skills, experience, and a portfolio. High-demand skills in programming languages, web development, or app creation often lead to such income levels through freelance projects or consulting work.

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 or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles are usually found in leading tech companies and may involve responsibilities like developing innovative algorithms or managing AI projects, with compensation reflecting expertise and experience.

What jobs pay $2000 a day?

For a Rag Developer or similar high-skilled tech roles, earning $2000 a day typically requires extensive experience, specialized skills, and often freelance or contract work. Such high daily rates are common in consulting, software development, or project management for large organizations or clients. These positions often demand advanced certifications, a strong portfolio, and the ability to deliver complex solutions efficiently.
What are popular job titles related to Rag Developer jobs in Addison, TX? For Rag Developer jobs in Addison, TX, the most frequently searched job titles are:
What job categories do people searching Rag Developer jobs in Addison, TX look for? The top searched job categories for Rag Developer jobs in Addison, TX are:
What cities near Addison, TX are hiring for Rag Developer jobs? Cities near Addison, TX with the most Rag Developer job openings:
Rag Developer jobs near you

Python Developer with LLM, GCP

Sparc Technology Services Inc

Irving, TX • On-site, Remote

$48 - $66.25/hr

Full-time

Posted 8 days ago

Key responsibilities

  • Build custom Python applications for large-scale data.

  • Develop pipelines for data processing and deploy them in Google Cloud Platform (GCP).

  • Work with Large Language Models (LLMs) including tokenization, embeddings, context management, prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques.

Job description

Python Developer data engineering GCP Working
Exp with LLMs etc
building custom Python applications for large-scale data
building pipelines for data processing and deploying in GCP
Solid foundation in Machine Learning
Extensive experience working with Large Language Models (LLMs) such as Gemini, Claude, and GPT with in-depth understanding of tokenization, embeddings, and context management.
Advanced expertise in Prompt Engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques.
Experience working with Vector databases and text embeddings.
Experience within Google Cloud environments (e.g., BigQuery, Cloud Run).

Flexible work from home options available.