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Rag Developer Jobs in Spring, TX (NOW HIRING)

technical Skills Strong expertise in AIML technologies Generative AI LLMs prompt engineering RAG Machine learning model development and deployment NLP predictive analytics MLOps and model lifecycle ...

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Machine Learning Engineer Location: Houston, TX Environment: Standard, 5-days onsite : Must ... Experience with Reinforcement Learning, RAG (Retrieval-Augmented Generation), and Agentic AI.

Works closely with engineering, business, and leadership teams * Hands-on with AI - real day-to-day usage Duties * Define AI use cases (RAG, automation, agentic workflows) * Translate business needs ...

The Agentic AI Engineer , within the Data & AI team, designs and ships agentic workflows that turn ... Experience implementing RAG architectures with vector databases (Azure AI Search, pgvector ...

The Agentic AI Engineer , within the Data & AI team, designs and ships agentic workflows that turn ... Experience implementing RAG architectures with vector databases (Azure AI Search, pgvector ...

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

LLM Engineer

Houston, TX · On-site

$120K - $130K/yr

We are seeking a detail-oriented LLM Automation Engineer to support AI-driven data analysis ... Python, Hugging Face, Langchain, RAG, AWS * PowerPoint presentation skills

AI Engineer II

Chicago, IL · On-site

$116K - $144K/yr

... generation (RAG) pipelines across enterprise environments. * Quality & Evaluation: Create and ... Develop and enhance automated pipelines for AI delivery using tools like Azure DevOps, GitHub ...

Showing results 21-40

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 Spring, TX?

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

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

Cities near Spring, TX with the most Rag Developer job openings:

Infographic showing various Rag Developer job openings in Spring, TX as of August 2026, with employment types broken down into 65% Full Time, and 35% Contract. Highlights an 81% In-person, and 19% Remote job distribution.

Military/Veteran Mental Health Experts - Remote

YO AI Labs

Houston, TX • Remote

$200 - $350/hr

Full-time

Posted 6 days ago


Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.