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Rag Engineer Jobs in Florida (NOW HIRING)

Design and operate retrieval-augmented generation (RAG) pipelines with Databricks Delta Tables ... Partner with Data Engineering to deliver ETL/ELT pipelines, API integrations, and event-driven ...

Design, develop, and maintain RAG pipelines, including document ingestion, embedding generation ... Apply core software engineering and ML fundamentals to ensure performance, reliability, and ...

Applied AI Engineer

Sunrise, FL · On-site

$50 - $55/hr

Experience with LangGraph, RAG, or MCP style integrations. * Experience with generative AI and prompt engineering. * Experience in continuous integration/continuous deployment pipelines and ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

We are looking for a Data Engineer with strong handson experience designing, developing, and ... This role focuses heavily on building reliable RAG (Retrieval-Augmented Generation) pipelines ...

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 ...

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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Showing results 1-20

Rag Engineer information

See Florida salary details

$44.5K

$67.6K

$114.7K

How much do rag engineer jobs pay per year?

As of Aug 26, 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 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 job categories do people searching Rag Engineer jobs in Florida look for?

The top searched job categories for Rag Engineer jobs in Florida 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 August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $67,638 per year, or $32.5 per hour.

Onsite AI Engineer

1872 Consulting

Fort Myers, FL • On-site

Full-time

Re-posted 7 days ago


Job description

Job Summary:
1872 Consulting is seeking an Onsite AI Engineer to transform AI ideas into practical solutions in the construction industry. The role involves partnering with project leaders to improve workflows, deploy AI agents, and advance the company's vision of the "Construction Site of the Future."
Responsibilities:
• Workflow discovery and redesign: Lead Lean/Six Sigma workshops; map value streams; log high-impact AI agent opportunities that improve field efficiency.
• AI agent development: Build and deploy multiple production-ready AI agents using Copilot Studio, Power Apps/Automate, ChatGPT Enterprise, or code-first frameworks. Integrate agents into Teams/SharePoint on the front end and Databricks Lakehouse or other enterprise data sources on the back end.
• RAG pipelines and LLMOps: Design and operate retrieval-augmented generation (RAG) pipelines with Databricks Delta Tables, Unity Catalog, and Vector Search (or Spark/Hadoop equivalents). Monitor cost, latency, adoption, and model drift.
• Cross-cloud orchestration: Blend OpenAI, Azure OpenAI, and AWS Bedrock services through secure custom connectors to maximize flexibility and adoption.
• Data integration: Partner with Data Engineering to deliver ETL/ELT pipelines, API integrations, and event-driven connectors that feed RAG pipelines and AI agents.
• Change management and adoption: Train field teams, gather feedback, iterate quickly, and embed agents into SOPs. Track usage and ROI with adoption metrics and behavior-change KPIs.
• Stakeholder communication: Translate technical results into business value for leadership and clients. Contribute use cases and playbooks for the "Construction Site of the Future."
• Compliance and hand-offs: Ensure all AI solutions meet the company's data governance and security standards. Draft clear user stories and specs for escalation to central AI/Data Engineering teams when necessary.
Qualifications:
Required:
• 4+ years in AI engineering, data science, or ML-focused software engineering.
• Proven experience building multiple AI agents in production environments.
• 2+ years of hands-on experience with LLMs, RAG pipelines, and LLMOps practices.
• Strong proficiency in Python, SQL, and Databricks (Spark/Hadoop equivalents acceptable).
• Hands-on experience with Copilot Studio, Power Apps/Automate, API development and integration.
• Familiarity with CI/CD, GitHub Actions (or Azure DevOps), workflow automation.
• Solid understanding of ETL/ELT, REST/GraphQL APIs, and collaboration with Data Engineering teams.
Preferred:
• Experience in construction, manufacturing, or other process-heavy industries.
• Background in data engineering workflows (Airflow, ELT/ETL, etc).
• Advanced degree in a technical field.
Company:
1872 Consulting is a recruitment and IT consulting company. Founded in 1872, the company is headquartered in Chicago, USA, with a team of 11-50 employees. The company is currently Early Stage.

1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014