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Rag Engineer Jobs in Manvel, TX (NOW HIRING)

YO AI Labs

Senior Data Scientist-Gen AI/RAG

Houston, TX · Hybrid

Collaborate with product managers and engineers to integrate data science solutions into enterprise ... RAG implementation depth -- vector databases, hybrid retrieval, reranking, knowledge graphs. * AWS ...

YO AI Labs

AI/ML Engineer - Remote

Houston, TX · Remote

$200 - $350/hr

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 ...

YO AI Labs

Senior Data Scientist-Gen AI/RAG

Houston, TX · On-site

$150 - $200/hr

Collaborate with product managers and engineers to integrate data science solutions into enterprise ... RAG implementation depth -- vector databases, hybrid retrieval, reranking, knowledge graphs. * AWS ...

Scadea

.Net Engineer

Houston, TX · On-site

... RAG architectures. - Build and integrate AI capabilities into .NET applications using C# and ASP ... prompt engineering, AI agents, embeddings, and vector search solutions. - Collaborate with ...

AMSYS Talent

Sr Gen AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Generative AI Engineer (Azure / RAG / LLM) We're looking for a hands-on Senior AI Engineer to build and deploy production-grade generative AI solutions. This role focuses on taking use cases ...

VST Consulting, Inc

Data Engineer

Houston, TX · On-site

$45 - $50/hr

Data Engineer Client: Halliburton Location: Houston, TX Onsite Only / Local Candidates are ... Implement LLM and Generative AI solutions, including Retrieval Augmented Generation (RAG), vector ...

New

Conflux Systems

AI Engineer with Python

Texas City, TX · On-site

Strong understanding of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and AI workflows. * Experience with cloud platforms such as AWS, Azure, or Google Cloud ...

IntellectFaces, Inc.

AI/ML Engineer

Houston, TX · On-site

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 ...

YO AI Labs

Mental Health Expert - Remote

Houston, TX · Remote

$200 - $350/hr

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 ...

Beth Page tech

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.

Fervo Energy Company

Agentic AI Engineer

Houston, TX · On-site

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 ...

Fervo Energy

Agentic AI Engineer

Houston, TX · On-site

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 ...

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Showing results 1-20

All JobsRag Engineer JobsRag Engineer Jobs in Manvel, TX

Rag Engineer information

See Manvel, TX salary details

$56K

$85.2K

$144.4K

How much do rag engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for rag engineer in Manvel, TX is $85,151.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $98,800.00 per year, depending on experience, location, and employer.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

How to become a rag engineer?

To become a rag engineer, you typically need a bachelor's degree in engineering, materials science, or a related field. Relevant skills include knowledge of manufacturing processes, quality control, and proficiency with industry tools and equipment; certifications in quality management or safety can also be beneficial. Gaining experience through internships or entry-level positions in manufacturing environments is important for career advancement.

What cities near Manvel, TX are hiring for Rag Engineer jobs?

Cities near Manvel, TX with the most Rag Engineer job openings:

Rag Engineer jobs near you

Senior Data Scientist-Gen AI/RAG

YO AI Labs

Houston, TX • Hybrid

Full-time

Posted 5 days ago

Job description

Job Description

Role : Senior Data Scientist-Gen AI/RAG

Domain : Information technology (IT)

Job Type: Full Time

Location : USA - Houston

Experience: 7 - 15 Years

Job Summary:

Looking for a Senior Data Scientist with a strong traditional ML/DS background and hands-on experience in GenAI (LLMs, RAGs, Agentic workflows), we need someone with practical implementation experience and the ability to interact confidently with customers. The selected candidate will leverage advanced analytical techniques and machine learning methods to derive actionable insights from complex datasets.

Key Responsibilities:

  • Develop and implement machine learning algorithms to solve complex business problems. 
  • Analyze large datasets to generate insights and inform decision-making processes. 
  • Collaborate with product managers and engineers to integrate data science solutions into enterprise products.
  • Communicate findings and recommendations effectively to technical and non-technical stakeholders.
  • Stay current with the latest advancements in data science and machine learning technologies.

Skills and Tools Required:

  • Strong proficiency in programming languages such as Python or R.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Solid understanding of statistical analysis techniques and data modeling.
  • Proficiency in data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with big data technologies (e.g., Hadoop, Spark).
  • Ability to work with databases and query large datasets using SQL.
  • Strong problem-solving skills and the ability to think critically.

Must Haves:

  • A 5-to-7-years of Relevant experience is needed. 
  • Hands-on Agentic AI production experience — LangGraph, LangChain, MCP, tool calling.
  • RAG implementation depth — vector databases, hybrid retrieval, reranking, knowledge graphs.
  • AWS Bedrock experience (Azure OpenAI or Vertex AI only acceptable as an alternate, not a substitute for GenAI cloud exposure generally).
  • Strong traditional ML/DS background — classification, regression, forecasting, anomaly detection, feature engineering, model evaluation.
  • 12+ months continuous, recent hands-on GenAI/LLM work.
  • Production deployment experience