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Ai Rag Jobs in Pasadena, TX (NOW HIRING)

... enhanced RAG (Retrieval-Augmented Generation) systems and AI-assisted research tools. • Lead the development of AI-native applications and tools. • Implement tool-calling and orchestration ...

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Design and optimize prompt chains, retrieval-augmented generation (RAG), and hybrid AI architectures * Support technical demos and contribute to shaping feature roadmaps Required Qualifications

Role: The AI Engineer holds primary responsibility for architecting and implementing FSCU's on ... Designs and builds LLM-based applications, including RAG pipelines, agentic search, and vector ...

Role: The AI Engineer holds primary responsibility for architecting and implementing FSCU's on ... Designs and builds LLM-based applications, including RAG pipelines, agentic search, and vector ...

Role: The AI Engineer holds primary responsibility for architecting and implementing FSCU's on ... Designs and builds LLM-based applications, including RAG pipelines, agentic search, and vector ...

AI Engineer

Houston, TX · On-site

$120 - $125/hr

AI Engineer Location: Houston, Texas Type: Direct Hire Salary: $120,000 - $125,000 Summary: The AI ... Designs and builds LLM-based applications, including RAG pipelines, agentic search, and vector ...

New

AI Architect

Houston, TX · On-site

$60.75 - $79/hr

... AI solutions, including leadership of large-scale digital transformation and customer-facing ... RAG frameworks. - Led development of enterprise copilots, intelligent assistants, document ...

AI Architect

Webster, TX · Remote

$55.25 - $72.75/hr

Design Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and semantic ... for cloud and AI platforms. * Collaborate with business stakeholders, engineering teams, and ...

AI Architect

South Houston, TX · Remote

$57.50 - $76/hr

Design Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and semantic ... for cloud and AI platforms. * Collaborate with business stakeholders, engineering teams, and ...

AI Architect

Friendswood, TX · Remote

$55 - $72.50/hr

Design Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and semantic ... for cloud and AI platforms. * Collaborate with business stakeholders, engineering teams, and ...

AI Architect

Southside Place, TX · Remote

$56.25 - $74.25/hr

Design Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and semantic ... for cloud and AI platforms. * Collaborate with business stakeholders, engineering teams, and ...

AI Architect

Cloverleaf, TX · Remote

$54 - $71.25/hr

Design Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and semantic ... for cloud and AI platforms. * Collaborate with business stakeholders, engineering teams, and ...

AI Architect

Nassau Bay, TX · Remote

$53 - $69.75/hr

Design Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and semantic ... for cloud and AI platforms. * Collaborate with business stakeholders, engineering teams, and ...

AI Architect

Houston, TX · Remote

$60.25 - $79.25/hr

Design Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and semantic ... for cloud and AI platforms. * Collaborate with business stakeholders, engineering teams, and ...

AI Architect

North Houston, TX · Remote

$58.25 - $76.75/hr

Design Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and semantic ... for cloud and AI platforms. * Collaborate with business stakeholders, engineering teams, and ...

AI Architect

Channelview, TX · Remote

$54.25 - $71.50/hr

Design Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and semantic ... for cloud and AI platforms. * Collaborate with business stakeholders, engineering teams, and ...

AI Architect

Houston, TX · On-site

$60.25 - $79.25/hr

... RAG), embeddings, and vector stores • Proven experience communicating AI and technology concepts in both execution detail and broad terms to a variety of technical and business audiences • ...

Showing results 21-40

Ai Rag information

See Pasadena, TX salary details

$29.2K

$53.2K

$76.3K

How much do ai rag jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ai rag in Pasadena, TX is $53,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,800.00 and $59,400.00 per year, depending on experience, location, and employer.

What is an AI RAG?

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.

What are the key skills and qualifications needed to thrive as an AI researcher?

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 are common challenges faced by AI RAG 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 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.

What cities near Pasadena, TX are hiring for Ai Rag jobs?

Cities near Pasadena, TX with the most Ai Rag job openings:

Head of Applied AI Products

Viridien

Houston, TX • On-site

Full-time

Re-posted 28 days ago


Job description

Job Summary:
Viridien is an advanced technology company focused on digital and Earth data, seeking a Head of Applied AI Products to lead the design and development of their AI-native product ecosystem. This role involves defining technical directions for AI solutions, transforming geoscience data into structured knowledge systems, and ensuring the delivery of innovative AI-driven capabilities aligned with the company's strategic goals.
Responsibilities:
• Define and own the AI product architecture and technical product roadmap.
• Translate emerging AI capabilities into scalable product architectures and user experiences.
• Establish best practices for building reliable, observable, and debuggable LLM-powered systems.
• Design and improve end-to-end AI pipelines.
• Develop document ingestion, layout analysis, and information extraction capabilities.
• Build entity resolution processes aligned with standardized domain databases.
• Implement table understanding and schema normalization into predefined data schemas.
• Design and implement advanced analytics capabilities.
• Develop domain-specific machine learning models in collaboration with subject matter experts.
• Build enhanced RAG (Retrieval-Augmented Generation) systems and AI-assisted research tools.
• Lead the development of AI-native applications and tools.
• Implement tool-calling and orchestration frameworks for domain-specific software.
• Develop data analysis and integration systems.
• Implement human-in-the-loop validation and feedback mechanisms.
• Prototype core systems to validate feasibility and guide implementation.
• Partner with engineering teams to review designs and ensure strong technical architecture.
• Drive the transition from experimental AI capabilities to scalable production systems.
Qualifications:
Required:
• Strong engineering background (ML engineering, MLOps engineer, or equivalent).
• Proven experience building complex systems from 0→1.
• Ability to independently write production-quality code and build functional prototypes.
• Practical experience with LLM application architectures (e.g., RAG, agents, workflows, tool calling).
• Solid understanding of data pipelines, system design, and service-oriented architectures.
• Product-minded: able to reason about user value, tradeoffs, and adoption—not only implementation.
• Comfortable operating in high-ambiguity, fast-evolving technical environments.
Company:
Viridien is a leader in cutting-edge geoscience. Founded in 1931, the company is headquartered in Paris, FRA, with a team of 1001-5000 employees. The company is currently Late Stage.