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Entrylevel Retrieval Augmented Generation Jobs in Denton, TX

Python Developer with ML - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate outputs. This includes ingesting, processing, and ...

Build and integrate solutions using Large Language Models (OpenAI, Gemini, Claude, Llama, etc.). * Assist in developing Retrieval-Augmented Generation (RAG) pipelines and AI agents. * Write clean ...

New

Python Developer with ML - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

OOP, design patterns, modular architecture. • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate ...

Senior Software Engineer

Irving, TX · On-site

$73K - $174K/yr

Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines to improve response quality and domain-specific knowledge retrieval. * Conduct model evaluation, prompt engineering, and ...

Sr Software Engineer AI-ML

Irving, TX · On-site

$113K - $149K/yr

... • Retrieval-Augmented Generation (RAG) • Model fine-tuning Company : Echo IT Solutions provides IT consulting, managed services, cloud, cybersecurity, data, and custom software development.

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. Collaboration: Communicate proactively with teammates, AI research ...

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. * Collaboration: Communicate proactively with teammates, AI research ...

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. Collaboration: * Communicate proactively with teammates, AI research ...

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. * Collaboration: Communicate proactively with teammates, AI research ...

Experience with LLMs, generative AI, NLP, retrieval-augmented generation (RAG), or prompt orchestration frameworks. * Experience designing multi-cloud application architectures and integration ...

Experience with Large Language Models (LLMs) , Generative AI , Natural Language Processing (NLP) , Retrieval-Augmented Generation (RAG) , or prompt orchestration frameworks. * Experience designing ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...

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Entrylevel Retrieval Augmented Generation information

See Denton, TX salary details

$30K

$48.9K

$71.3K

How much do entrylevel retrieval augmented generation jobs pay per year?

As of Aug 27, 2026, the average yearly pay for entrylevel retrieval augmented generation in Denton, TX is $48,883.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $60,900.00 per year, depending on experience, location, and employer.

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Python Developer with LLM, GCP

Sparc Technology Services Inc

Irving, TX • On-site

$48 - $66.25/hr

Full-time

This job post has expired today. Applications are no longer accepted.


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.