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Rag Engineer Jobs in Florida (NOW HIRING)

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

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.

LLM, RAG, and Generative AI Engineering * Build advanced Retrieval‑Augmented Generation (RAG) architectures, including hybrid retrieval, query planning, and retrieval optimization. * Develop, tune ...

New

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 ...

Experience with LangGraph, RAG, or MCP-style integrations * Hands-on experience with generative AI and prompt engineering * Experience with CI/CD pipelines and containerized deployments Preferred ...

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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 10, 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.

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 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.

Full-time

Posted 17 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

44th of 485 rated business services


Job description

We are seeking an AI Engineer with strong experience in Large Language Models (LLMs) and RetrievalAugmented Generation (RAG) to design, build, and optimize intelligent systems that solve complex mission and enterprise challenges. This role blends modern GenAI engineering with traditional computer science and machine learning, supporting both rapid prototyping and productiongrade delivery.

Key Responsibilities

  • Design, develop, and maintain RAG pipelines, including document ingestion, embedding generation, vector storage, retrieval logic, and LLM orchestration.
  • Build and optimize LLMpowered applications for classification, summarization, Q&A, knowledge retrieval, and workflow automation.
  • Apply core software engineering and ML fundamentals to ensure performance, reliability, and security (e.g., data structures, algorithms, model evaluation, MLOps, API development).
  • Implement and tune traditional ML models when required (e.g., regression, clustering, feature engineering, classical NLP).
  • Integrate cloudnative services (Azure/AWS), data pipelines, and containerized workloads (Docker). Collaborate closely with crossfunctional teams-including data engineers, architects, and mission SMEs-to translate requirements into scalable solutions.

Required Skills

  • Handson experience with LLMs, prompt engineering, embeddings, vector databases, and RAG frameworks.
  • Strong programming skills in Python; familiarity with Java/C++ is a plus.
  • Proficiency with ML and DL frameworks (PyTorch, TensorFlow, HuggingFace).
  • Solid understanding of algorithms, data structures, APIs, and distributed systems.
  • Experience with cloud platforms (AWS or Azure) and containerization (Docker).
  • Ability to work across structured and unstructured datasets.

Preferred Skills

  • Experience building productionready AI/ML systems, including CI/CD or MLOps frameworks (MLFlow/BentoML).
  • Understanding of data governance, security constraints, and model risk management.
  • Ability to communicate complex technical concepts to nontechnical stakeholders.

Security Clearance: 

  • Active TS/SCI Clearance

#LI-Defense 

#LI-Hybrid 


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