1

Rag Developer Jobs in Spring, TX (NOW HIRING)

AI Developer

The Woodlands, TX · On-site

$100K - $120K/yr

Agentic AI: Experience building and orchestrating single‑agent and multi‑agent systems, including prompt engineering, RAG pipelines, and agent decision logic. * Integration Development:

AI Engineer Developer

Houston, TX · Remote

$40 - $45/hr

... Developer Location: Houston TX or US Remote Duration: 6-12 months Skills: AI and Automation~AI ... RAG workflows, tool-calling systems, or chatbot platforms. · Experience with LLM APIs and GenAI ...

Senior AI Developer

Houston, TX · On-site

$52 - $68.75/hr

Builds retrieval-augmented generation (RAG) pipelines - document ingestion, chunking, embeddings ... NET and SQL engineering teams responsible for backend services and data-layer integration with AI ...

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

Establish foundational AI and engineering capabilities * Standardize development patterns (RAG, chatbot frameworks) * Enable scalable, reusable AI solutions across the organization * Current State ...

This developer will work alongside AI engineers/developers and business analysts to build, ship ... Hands-on experience building RAG (Retrieval-Augmented Generation) pipelines. Hands-on experience ...

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 ...

Senior AI Developer

Houston, TX · On-site

$52 - $68.75/hr

... RAG) pipelines -- document ingestion, chunking, embeddings, vector search, hybrid retrieval, and ... NET and SQL engineering teams responsible for backend services and data-layer integration with AI ...

... RAG pipelines using vector databases and knowledge graph solutions. Develop AI agents that automate ... engineering, model selection, and architecture decisions. Support pilot implementations, user ...

... RAG (Retrieval-Augmented Generation) • Semantic Search • Agentic AI • MCP (Model Context ... engineers/developers and business analysts to turn ideas and experiments into production systems ...

Senior AI Agentic Engineer

Spring, TX · On-site

$93K - $127K/yr

Senior AI Agentic Engineer Location: Spring, TX 77389 (hybrid: 3 days onsite / 2 days remote ... Design and optimize RAG pipelines including document ingestion, chunking strategies, embedding ...

next page

Showing results 1-20

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 does a RAG engineer do?

A RAG (Red, Amber, Green) engineer develops and maintains systems that use RAG status indicators to monitor project or system health. They often work with data visualization tools, automate status reporting, and analyze performance metrics to support decision-making. Strong skills in data analysis, programming, and understanding of project management are typically required.

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, AI research director, or executive roles like AI CTO. These roles often require advanced skills in programming, data analysis, and experience with AI frameworks, and they may involve leadership responsibilities or specialized expertise in cutting-edge AI technologies.

Which 3 jobs will survive AI?

For a Rag Developer, roles that require complex manual craftsmanship, creative problem-solving, and specialized knowledge are more likely to persist despite AI advancements. Jobs involving intricate textile design, custom tailoring, and quality inspection rely on human skills and judgment that AI cannot fully replicate. Developing expertise in these areas, along with staying updated on industry tools, can help ensure job security.
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 job categories do people searching Rag Developer jobs in Spring, TX look for? The top searched job categories for Rag Developer jobs in Spring, TX 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 July 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 79% In-person, 5% Hybrid, and 16% Remote job distribution.
Senior Data Scientist GenAI / RAG

Senior Data Scientist GenAI / RAG

Compunnel

Houston, TX • On-site

Full-time

Posted 22 days ago


Job description

Job Summary
We are seeking a Senior Data Scientist with a strong background in traditional Machine Learning, Deep Learning, and hands-on experience building enterprise Generative AI solutions. This role is responsible for developing and deploying AI-powered applications, Retrieval-Augmented Generation (RAG) systems, predictive models, and data-driven solutions that solve complex business problems. The ideal candidate will collaborate with cross-functional teams, interact directly with customers, and leverage modern AI technologies to deliver scalable enterprise solutions.
Key Responsibilities
  • Build, deploy, and optimize Retrieval-Augmented Generation (RAG) systems and AI-powered chat interfaces.
  • Develop enterprise Generative AI solutions using Large Language Models (LLMs) and related technologies.
  • Design, develop, and implement machine learning algorithms to solve complex business problems.
  • Analyze large and complex datasets to generate actionable insights and support data-driven decision-making.
  • Build predictive models and statistical solutions to improve enterprise products and business outcomes.
  • Collaborate with client data science teams across Machine Learning and Deep Learning ecosystems.
  • Work closely with product managers, engineers, and business stakeholders to integrate AI and data science solutions into enterprise products.
  • Develop and deploy machine learning models for production environments.
  • Perform feature engineering, data preparation, and model optimization.
  • Build enterprise knowledge solutions using Generative AI technologies.
  • Work with structured and unstructured datasets to extract meaningful insights.
  • Collaborate directly with customers and stakeholders to understand business requirements and recommend AI-driven solutions.
  • Communicate technical findings and recommendations effectively to both technical and non-technical audiences.
  • Mentor junior data scientists and contribute to knowledge sharing across the team.
  • Stay current with advancements in Machine Learning, Deep Learning, Generative AI, and data science technologies.
  • Support continuous improvement initiatives by evaluating emerging AI frameworks, tools, and best practices.

Required Qualifications
  • Overall 10+ years of professional experience in Data Science, Machine Learning, Artificial Intelligence, or related technical fields.
  • Strong experience in Machine Learning (ML) and Deep Learning (DL).
  • Hands-on experience with Generative AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
  • Experience developing enterprise AI and machine learning solutions.
  • Strong proficiency in Python or R.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong understanding of statistical analysis, predictive modeling, and data modeling techniques.
  • Experience working with SQL and querying large datasets.
  • Familiarity with big data technologies such as Hadoop, Spark, or similar platforms.
  • Experience working within AWS cloud environments.
  • Experience working with Snowflake or similar enterprise data platforms.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent communication, collaboration, stakeholder management, and client-facing skills.
  • Ability to work effectively with cross-functional teams in an enterprise environment.

Preferred Qualifications
  • Exposure to Agentic AI and Agent APIs.
  • Experience with Claude, Anthropic, or similar Generative AI development platforms.
  • Domain experience within the Oil & Gas or Energy industry.
  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Experience working with enterprise software products.
  • Understanding of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

Social media