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Rag Developer Jobs in Addison, TX (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 ...

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 ...

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 ...

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 ...

Photon

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 ... Collaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration ...

Photon

Python Developer with ML - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

... RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate ... engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration frameworks like ...

Photon

Python Developer Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

The Python Developer will play a critical role in building and enhancing our Agentic AI platform ... RAG Implementation: Develop and maintain Retrieval-Augmented Generation (RAG) solutions leveraging ...

Photon

Python Developer Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

The Python Developer will play a critical role in building and enhancing our Agentic AI platform ... RAG Implementation: Develop and maintain Retrieval-Augmented Generation (RAG) solutions leveraging ...

ZipStaff Inc.

Senior Lead AI Developer

Irving, TX · Remote

$56 - $60/hr

Senior Lead AI Developer. Location: Remote (U.S.). Employment Type: Contract (W2 through ZipStaff ... Build high-performing semantic layers using RAG, Knowledge Graphs, and GraphRAG. * Enable natural ...

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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.

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What cities near Addison, TX are hiring for Rag Developer jobs?

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Rag Developer jobs near you

AI/ML Engineer Generative AI & RAG

VST Consulting, Inc

Plano, TX • On-site

$90K/yr

Other

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

Job description

Role Name: AI/ML Engineer – Generative AI & RAG
Location: Plano, TX
Employment Type: Full-Time
Experience: 4+ Years
Salary: Up to $90,000 USD
Visa : USC
Interview Mode : Face to Face
Relocation: Relocation is Fine

Job Summary

We are seeking an experienced AI/ML Engineer to design, develop, and deploy Generative AI applications, with a strong focus on Retrieval-Augmented Generation (RAG) and agentic workflows. The ideal candidate will have hands-on experience building production-grade AI applications using LLMs, vector databases, LangChain, agent frameworks, and Azure AI services.

The candidate will work closely with data engineering and application teams to integrate enterprise data with advanced AI reasoning and automation capabilities while ensuring scalability, performance, accuracy, and reliability.

Key Responsibilities

Design and build agentic AI applications using LangChain or similar frameworks, integrating enterprise data sources such as Azure Databricks, documents, APIs, and databases.

Build, implement, and optimize RAG architectures and vector databases for AI agents using Azure AI Search or similar technologies.

Integrate Azure OpenAI, GPT models, and other LLMs into enterprise applications.

Develop effective prompt engineering and optimization strategies to improve LLM accuracy and performance.

Implement AI evaluation, monitoring, and guardrails to address accuracy, bias, hallucinations, and overall model reliability.

Collaborate with Data Engineers, Software Engineers, and Application Teams to integrate AI solutions into production environments.

Optimize AI applications for performance, latency, scalability, and cost in large-scale deployments.

Develop and integrate APIs and microservices for AI/ML applications.

Work with emerging technologies such as MCP (Model Context Protocol) and agent orchestration patterns.

Communicate technical concepts, insights, and AI solution capabilities effectively to both technical and non-technical stakeholders.

Required Qualifications

4+ years of experience in AI/ML Engineering, Data Science, Machine Learning, or a related field.

Strong hands-on experience with Python as a core development language.

Hands-on experience with Generative AI, LLMs, RAG, AI Agents, and Vector Databases.

Strong experience with LangChain or similar LLM/agent frameworks.

Experience with Azure AI ecosystem, including Azure OpenAI and Azure AI Search.

Experience working with data from Azure Databricks or similar relational/data platforms.

Strong understanding of RAG architecture, vector search, embeddings, LLM orchestration, and agentic workflows.

Experience with Git and GitHub for source control and collaborative development.

Experience developing and integrating REST APIs and microservices.

Familiarity with MCP (Model Context Protocol) and scalable AI system design.

Understanding of LLM evaluation, monitoring, prompt engineering, guardrails, hallucination mitigation, and responsible AI practices.

Strong analytical, problem-solving, and communication skills.

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