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Ai Rag Jobs in Florida (NOW HIRING)

Lead Architect - Airvoyant

Miami, FL · On-site

$52.75 - $72.50/hr

Design scalable solutions leveraging Generative AI, Agentic AI, RAG, and intelligent automation. * Lead architecture for cloud-native applications, APIs, microservices, and event-driven systems.

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

AI/ML Engineer Experience: 4-7 Years Job Type: Full-Time Location: Remote / Hybrid / Onsite ... Develop Retrieval-Augmented Generation (RAG) pipelines. * Work with vector databases for semantic ...

Senior Agentic (AI) Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... Strong RAG fundamentals chunking, embeddings, hybrid retrieval, reranking, grounding - and judgment ...

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... Strong RAG fundamentals chunking, embeddings, hybrid retrieval, reranking, grounding - and judgment ...

Responsibilities : • Design scalable, maintainable AI solutions that integrate Langchain, LangGraph, and RAG methodologies to enhance knowledge discovery and conversational AI capabilities. • ...

AI Architect

Tampa, FL

$59.50 - $78.50/hr

Experience with embeddings, vector databases, RAG patterns, LangChain, Semantic Kernel and MLflow ... AI Strategy & Enterprise Architecture* Evaluate and recommend AI models, APIs and platforms (e.g ...

Experience with embeddings, vector databases, RAG patterns, LangChain, Semantic Kernel and MLflow ... AI Strategy & Enterprise Architecture * Evaluate and recommend AI models, APIs and platforms (e.g ...

Senior Agentic (AI) Engineer

Miami, FL · On-site +1

$99K - $137K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... Strong RAG fundamentals chunking, embeddings, hybrid retrieval, reranking, grounding - and judgment ...

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... Strong RAG fundamentals chunking, embeddings, hybrid retrieval, reranking, grounding - and judgment ...

Gen AI Tech Lead

Tampa, FL · On-site

$132K - $162K/yr

Responsibilities : • Design scalable, maintainable AI solutions that integrate Langchain, LangGraph, and RAG methodologies to enhance knowledge discovery and conversational AI capabilities. • ...

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 ...

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Ai Rag information

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 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 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 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 cities in Florida are hiring for Ai Rag jobs? Cities in Florida with the most Ai Rag job openings:

Information Technology_USA - USA_Quality Manager

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 8 days ago


Job description

Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
-- (Max)
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Shilpa Bajpai
Location: Denver, CO (Zip Code-80221)- REMOTE
skill id: 10902001
Role: AI Agentic Tester
Skills: QA/Test Engineering experience
Must have- Experience testing Generative AI, LLM, or AI-based applications.
Role Descriptions: AI Agentic Tester
Essential Skills: AI Agentic Tester
Desirable Skills:
Keyword:
Skills: Modern Functional Quality Engineering
Experience Required: 2-4 Years
PFB the responsibilities and skills needed:
Functional Testing
Validate AI agent workflows against business requirements.
Test end-to-end AI use cases, including multi-agent interactions.
Verify task completion accuracy and output quality.
Test agent orchestration, tool calling, and workflow execution.
AI Model Validation
Evaluate LLM responses for accuracy, relevance, and consistency.
Test prompt engineering effectiveness and response quality.
Validate Retrieval-Augmented Generation (RAG) outputs.
Measure hallucination rates and response reliability.
Required Skills
3-8 years of QA/Test Engineering experience.
Experience testing Generative AI, LLM, or AI-based applications.
Knowledge of AI Agents, Agentic AI, RAG, and prompt engineering.
Hands-on experience with API testing (Postman, Swagger, REST APIs).
Experience with automation frameworks (Selenium, Playwright, PyTest).
Proficiency in Python.
Understanding of AI evaluation metrics and testing methodologies
Knowledge of Azure OpenAI, AWS Bedrock, Gemini, or similar AI platforms