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Rag Engineer Jobs in Florida (NOW HIRING)

We are seeking an AI/ML Engineer with expertise in generative AI, RAG applications, AI agentic frameworks, and predictive modeling. This role will focus on developing pricing models for retail ...

We are seeking an AI/ML Engineer with expertise in generative AI, RAG applications, AI agentic frameworks, and predictive modeling. This role will focus on developing pricing models for retail ...

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

Develop Retrieval-Augmented Generation (RAG) pipelines. * Work with vector databases for semantic search applications. * Perform data preprocessing, feature engineering, and model evaluation.

Senior AI Application Engineer

Tampa, FL · On-site +1

$120K - $140K/yr

Demonstrated experience building and deploying RAG systems -- including vector database selection ... Strong Python engineering -- clean, testable, production-quality code; JS/Node.js a plus.

AI Engineer Job Location: Lake Mary, FL (3 Days Onsite) Job Type: Contract Need 11+ Years of ... Retrieval-Augmented generation (RAG) * Document Ingestion and preprocessing * Chunking Strategies ...

Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and ... AI engineering experience. * Hands-on experience building applications using Generative AI ...

Senior Software Engineer

Lake Mary, FL

$107K - $141K/yr

This is a  mid-level software engineering role  for someone who is strong in core engineering ... Retrieval-augmented generation, or RAG, pipelines * Agent workflows and orchestration * Prompt ...

Leverages existing large language models (LLMs), retrieval-augmented generation (RAG) architectures, agentic workflows, data platforms, and software engineering practices to develop scalable ...

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Rag Engineer information

See Florida salary details

$44.5K

$67.6K

$114.7K

How much do rag engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for rag engineer in Florida is $67,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $78,500.00 per year, depending on experience, location, and employer.

What does a RAG engineer do?

A RAG engineer specializes in managing and analyzing Red, Amber, and Green (RAG) status indicators to monitor project or system performance. They often work with data visualization tools and reporting systems to identify issues and support decision-making in technical or operational environments.

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.

Which 3 jobs will survive AI?

For a Rag Engineer, roles that require complex manual dexterity, problem-solving in unpredictable environments, or specialized craftsmanship are less likely to be automated by AI. These include skilled trades such as welding, electrical work, and mechanical repair, which depend on hands-on expertise and adaptability. Continuous learning and certification in specialized tools or techniques help ensure job security in evolving technological landscapes.

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 or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working with large datasets, usually in a corporate or research environment. Compensation at this level reflects significant expertise, experience, and responsibility in the AI field.

What engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding advanced certifications, or taking on executive-level responsibilities.
What are popular job titles related to Rag Engineer jobs in Florida? For Rag Engineer jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Rag Engineer jobs? Cities in Florida with the most Rag Engineer job openings:
Infographic showing various Rag Engineer job openings in Florida as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $67,638 per year, or $32.5 per hour.

Java Developer with AI/ML Exp (Agentic AI, Copilot, RAG)

The Avian Consulting LLC

Sunrise, FL • On-site

$48.75 - $63/hr

Other

Posted 10 days ago


Job description

Hi,

Hope you are doing well.

Position: Java Developer with AI

Location: Sunrise, FL (Onsite)

Email ID:

Job Description:

  • Strong expertise in Java/J2EE development with hands-on experience building scalable enterprise applications and microservices.
  • Experienced in leveraging AI Copilot and Generative AI tools to improve developer productivity, code quality, and delivery efficiency.
  • Skilled in Prompt Engineering and Retrieval-Augmented Generation (RAG) concepts for building intelligent AI-powered applications and contextual search solutions.
  • Proficient in conducting GitHub Pull Request (PR) reviews, enforcing coding standards, and ensuring maintainable, high-quality code.
  • Experienced in integrating AI-assisted development workflows into modern software engineering and DevOps practices