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Rag Developer Jobs in Florida (NOW HIRING)

Java Full stack Developer

Tampa, FL

$49.50 - $64/hr

Proven experience designing and delivering LLM / GenAI solutions (e.g., RAG, orchestration, prompt engineering, AIassisted automation). Solid understanding of microservices, APIs, distributed systems ...

Python Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Echo IT Solutions is seeking a Python Developer with strong programming proficiency and expertise ... RAG) • Model fine-tuning Company : Echo IT Solutions provides IT consulting, managed services ...

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

Design and operate retrieval-augmented generation (RAG) pipelines with Databricks Delta Tables ... DevOps), workflow automation. • Solid understanding of ETL/ELT, REST/GraphQL APIs, 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.

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Rag Developer information

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

What cities in Florida are hiring for Rag Developer jobs?

Cities in Florida with the most Rag Developer job openings:

Infographic showing various Rag Developer job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

$45.75 - $63/hr

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This job post has expired today. Applications are no longer accepted.


Job description

Python | Generative AI | LLM | RAG | Prompt Engineering | REST APIs | LangChain | Vector Databases | AWS/Azure/OpenAI

Job Summary

We are looking for an experienced GenAI Developer to design, develop, and deploy enterprise-grade Generative AI and LLM-powered applications. The ideal candidate should have strong Python development experience along with hands-on expertise in LLM integration, RAG, prompt engineering, AI agents, APIs, vector databases, and cloud-based AI services. Current GenAI roles commonly combine Python with RAG, agents, vector search, LLM APIs, and production deployment.

Key Responsibilities
  • Design and develop Generative AI / LLM-powered applications for enterprise use cases.
  • Integrate foundation models from OpenAI, Azure OpenAI, AWS Bedrock, Anthropic, or Google Gemini.
  • Develop RAG (Retrieval-Augmented Generation) pipelines for enterprise knowledge applications.
  • Implement document ingestion, chunking, embeddings, retrieval, reranking, and response generation.
  • Design and optimize prompt engineering strategies for different business use cases.
  • Build AI-powered applications such as:
    • Enterprise chatbots
    • AI assistants / copilots
    • Document summarization
    • Question-answering systems
    • Knowledge assistants
    • Document intelligence
  • Develop AI Agents / Agentic AI workflows capable of tool calling and multi-step task execution.
  • Integrate LLMs with enterprise applications, databases, REST APIs, and external tools.
  • Build backend services and APIs using Python, FastAPI, or Flask.
  • Develop reusable components for AI workflows and LLM integrations.
  • Implement guardrails, validation, security, and responsible AI practices.
  • Evaluate LLM responses for accuracy, hallucinations, consistency, and relevance.
  • Optimize AI applications for latency, scalability, reliability, and token/cost efficiency.
  • Deploy and support GenAI applications in cloud environments.
  • Monitor production AI applications and troubleshoot issues.
  • Collaborate with Data Scientists, ML Engineers, Software Engineers, Product Owners, and Architects.
Required Technical Skills
  • Strong hands-on experience with Python.
  • Strong understanding of Generative AI and Large Language Models (LLMs).
  • Experience with Prompt Engineering.
  • Hands-on experience building RAG applications.
  • Experience with embeddings and semantic search.
  • Experience with vector databases such as: