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Ai Rag Jobs in Rosenberg, TX (NOW HIRING)

Truity Credit Union

Data & AI Engineer

Houston, TX · On-site

$110K - $133K/yr

Apply AI tools and frameworks to automate data classification, validation, and reporting tasks ... RAG) . * Familiarity with vector stores (e.g., FAISS, Weaviate) and embedding-based search.

Accenture

Secure AI Engineer Manager

Houston, TX · On-site

LLMs, agentic systems, A2A, RAG, MLOps pipelines, MCP, AI Gateway, model serving * Minimum 1 year of experience in AI-specific security: OWASP LLM Top 10, prompt injection, adversarial inputs, AI ...

ASCENSUS

Agentic AI Delivery Leader

Houston, TX · Hybrid

Demonstrated experience delivering agentic AI solutions (LLM-powered copilots/agents) including use-case discovery, evaluation, deployment, and post-launch iteration; strong understanding of RAG ...

Beth Page tech

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Generative AI: * Strong knowledge of LLMs (BERT, GPT, etc.), embeddings, and supervised fine-tuning. * Experience with Reinforcement Learning, RAG (Retrieval-Augmented Generation), and Agentic AI.

WM Synergy LLC

Director of AI

Houston, TX · On-site

Hands-on with agent frameworks, RAG and retrieval, and evaluation tooling, and you build in the ... Strong handle on AI cost. Token economics, model tiering and routing, caching, and consumption tied ...

Elsevier

Principal Software Engineer-Agentic AI

Houston, TX · On-site

$128K - $172K/yr

... RAG), memory systems, and planning/execution loops to perform reliable, context-aware tasks ... Drive AI system performance and reliability Optimize latency, throughput, and cost efficiency of AI ...

WM Synergy LLC

Director of AI

Houston, TX · On-site

Hands-on with agent frameworks, RAG and retrieval, and evaluation tooling, and you build in the ... Strong handle on AI cost. Token economics, model tiering and routing, caching, and consumption tied ...

RELX

Principal Software Engineer-Agentic AI

Houston, TX · On-site

$128K - $172K/yr

... RAG), memory systems, and planning/execution loops to perform reliable, context-aware tasks ... Drive AI system performance and reliability Optimize latency, throughput, and cost efficiency of AI ...

HP Inc

AI Data Scientist

Houston, TX

$130K - $205K/yr

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning ... RAG), and search engines. * Solid technical background. Experience working on software development ...

Archer Systems

Senior Forward Deployed AI Engineer

Houston, TX · On-site

$97K - $133K/yr

Experience with RAG, embeddings, evaluation frameworks * Experience with document intelligence workflows * Portfolio of real-world AI applications * WORK ENVIRONMENT * Fast-paced, execution-focused ...

ON.energy

Program Manager, AI Enablement

Houston, TX · On-site

Hands-on familiarity with modern AI tooling at a literacy level (LLM applications, RAG, agentic systems, evaluation frameworks) * Exposure to OT/ICS environments or other settings where data ...

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Ai Rag information

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How much do ai rag jobs pay per year?

As of Jul 14, 2026, the average yearly pay for ai rag in Rosenberg, TX is $51,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,700.00 and $58,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

Which AI is best at RAG?

For an AI Rag role, the best AI systems for Retrieval-Augmented Generation (RAG) tasks typically include models like OpenAI's GPT-4, Google's Bard, and Meta's Llama 2, which are capable of integrating retrieval components with language generation. Success in RAG depends on the model's ability to efficiently access and incorporate external data, as well as the implementation of effective retrieval mechanisms and fine-tuning. Skills in natural language processing, knowledge of retrieval systems, and experience with relevant tools are essential for this role.

What engineer makes 500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence or machine learning at large tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and requires advanced skills, extensive experience, and often a master's or Ph.D. in a related field.

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 data science, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in the field.

What are AI RAGs?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

Which 3 jobs will survive AI?

AI Rag is a role that involves managing and interpreting AI outputs, and jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Examples include healthcare professionals, skilled tradespeople, and roles in education. These jobs often require human judgment, interpersonal skills, and adaptability that AI cannot fully replicate.

What are some common challenges faced by AI RAG (Retrieval-Augmented Generation) engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What job categories do people searching Ai Rag jobs in Rosenberg, TX look for? The top searched job categories for Ai Rag jobs in Rosenberg, TX are:
What cities near Rosenberg, TX are hiring for Ai Rag jobs? Cities near Rosenberg, TX with the most Ai Rag job openings:
Ai Rag jobs near you
Data & AI Engineer

Data & AI Engineer

Truity Credit Union

Houston, TX • On-site

$110K - $133K/yr

Full-time

Posted 28 days ago

Job description

JOB SUMMARY

Truity Credit Union is seeking a data-savvy and forward-thinking Data and AI Engineer to advance our data management and AI enablement capabilities. This role focuses on automating data workflows, refining data quality, and leveraging AI/ML tools to solve practical business problems. Rather than full-scale software development, this position emphasizes data transformation, enrichment, querying, and AI-assisted processing, especially using Python, Node.js and SQL.

You’ll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models and apply AI to real-world business/operational problems.

ESSENTIAL FUNCTIONS

  1. Design and implement data manipulation pipelines using scripting languages like Python and SQL for ingestion, cleansing, enrichment, and formatting.
  2. Apply AI tools and frameworks to automate data classification, validation, and reporting tasks.
  3. Configure and test generative models (LLMs) to enhance data-driven workflows and knowledge management.
  4. Build lightweight scripts and tools for on-demand data exploration, transformation, and summarization.
  5. Partner with analysts and business users to identify AI-powered opportunities for streamlining data operations.
  6. Integrate LLM-based agents for structured and unstructured data extraction, Q&A, and document parsing.
  7. Use vector databases, semantic search, and embedding models to enhance data retrieval and knowledge systems.
  8. Support and maintain data pipelines across structured systems (e.g., SQL warehouses) and semi-structured data sources.
  9. Leverage prompt engineering and AI orchestration frameworks (e.g., LangChain, semantic routers) to optimize task handling.
  10. Monitor AI/data automation scripts to ensure accuracy, transparency, and compliance with data privacy standards.
  11. Document data workflows and AI tools clearly for reuse, maintainability, and auditability.
  12. Collaborate with the risk, security, and compliance teams to ensure responsible and ethical use of AI systems.

KNOWLEDGE, SKILLS, & ABILITIES

  • Proficiency in Python for scripting, data manipulation, and automation.
  • Strong command of SQL for querying, transforming, and joining relational data.
  • Experience with LLM tools and frameworks such as LangChain, OpenAI APIs, Retrieval-Augmented Generation (RAG).
  • Familiarity with vector stores (e.g., FAISS, Weaviate) and embedding-based search.
  • Understanding of data pipelines and orchestration tools (e.g., dbt, Airflow, Pandas workflows).
  • Knowledge of AI agent frameworks and task routing techniques.
  • Ability to build and refine prompt templates and AI-assisted data workflows.
  • Comfort working with cloud environments (e.g., Azure, AWS, or GCP).
  • Strong documentation, communication, and cross-functional collaboration skills.
  • Knowledge of version control, CI/CD pipelines, and containerization tools is preferred
  • Awareness of ethical AI, privacy considerations, and data compliance standards.

QUALIFICATIONS

  • Bachelor’s degree in Data Science, Computer Science, or related technical field.
  • 5+ years of experience in data engineering, analytics, or scripting-heavy roles.
  • 2+ years working with AI/ML tools or automation frameworks, especially for data-related use cases.

REGULATORY COMPLIANCE & OTHER REQUIREMENTS

  • Must maintain confidentiality and adhere to policies including Bank Secrecy Act (BSA), Office of Foreign Asset Control (OFAC), Anti-Money Laundering (AML), and Identity Theft Red Flags.
  • Regular attendance and active collaboration are essential.
  • Ability to perform functions requiring manual dexterity and lift objects up to 25lbs when necessary.
  • Reasonable accommodations will be made under the ADA when applicable.

This job description should not be interpreted as all inclusive. It is intended to identify the duties, responsibilities and requirements of this job. Incumbents may be requested to perform job-related responsibilities and tasks other than those stated in this description. Any physical demand of essential function or requirement of this position will be evaluated as necessary should an incumbent/applicant be unable to perform the function or requirement due to a disability as defined by the Americans with Disabilities Act (ADA). Reasonable accommodation for the specific disability will be made for the incumbent/applicant when possible.

Equal Opportunity Employer/Veterans/Disabled

Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact 918.336.7662 or jobs@truitycu.org for assistance. You may also contact us at that same number and email, if you would like to see a copy of our Affirmative Action Plan.