... Retrieval-Augmented Generation (RAG), and Agentic AI models. Key Responsibilities • Design and architect scalable, maintainable AI solutions that integrate Lang chain, LangGraph, and RAG ...
... Retrieval-Augmented Generation (RAG), and Agentic AI models. Key Responsibilities • Design and architect scalable, maintainable AI solutions that integrate Lang chain, LangGraph, and RAG ...
The ideal candidate will have strong expertise in Python, cloud platforms, Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and modern AI frameworks such as LangChain or ...
New
The ideal candidate will have strong expertise in Python, cloud platforms, Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and modern AI frameworks such as LangChain or ...
New
Engineer IV - Applied AI
Clearwater, FL · On-site
$140 - $190/hr
Leverages existing large language models (LLMs), retrieval-augmented generation (RAG) architectures, agentic workflows, data platforms, and software engineering practices to develop scalable ...
Engineer IV - Applied AI
Clearwater, FL · On-site
$140 - $190/hr
Leverages existing large language models (LLMs), retrieval-augmented generation (RAG) architectures, agentic workflows, data platforms, and software engineering practices to develop scalable ...
Leverages existing large language models (LLMs), retrieval-augmented generation (RAG) architectures, agentic workflows, data platforms, and software engineering practices to develop scalable ...
Quick apply
Leverages existing large language models (LLMs), retrieval-augmented generation (RAG) architectures, agentic workflows, data platforms, and software engineering practices to develop scalable ...
Engineer IV - Applied AI
Clearwater, FL · On-site
Leverages existing large language models (LLMs), retrieval-augmented generation (RAG) architectures, agentic workflows, data platforms, and software engineering practices to develop scalable ...
Engineer IV - Applied AI
Clearwater, FL · On-site
Leverages existing large language models (LLMs), retrieval-augmented generation (RAG) architectures, agentic workflows, data platforms, and software engineering practices to develop scalable ...
AI Lead (Generative AI)
Tampa, FL · On-site
$127K - $156K/yr
The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), Multi-Agent systems, Python, AI workflow orchestration ...
New
AI Lead (Generative AI)
Tampa, FL · On-site
$127K - $156K/yr
The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), Multi-Agent systems, Python, AI workflow orchestration ...
New
Python/Pyspark Developer
$47.50 - $65.50/hr
Lead the design, development, and deployment of Python and Generative AI solutions, including sophisticated Retrieval-Augmented Generation (RAG) architectures and conversational AI agents using ...
Python/Pyspark Developer
$47.50 - $65.50/hr
Lead the design, development, and deployment of Python and Generative AI solutions, including sophisticated Retrieval-Augmented Generation (RAG) architectures and conversational AI agents using ...
Data engineer
$108K - $129K/yr
Lead the design, development, and deployment of Python and Generative AI solutions, including sophisticated Retrieval-Augmented Generation (RAG) architectures and conversational AI agents using ...
Data engineer
$108K - $129K/yr
Lead the design, development, and deployment of Python and Generative AI solutions, including sophisticated Retrieval-Augmented Generation (RAG) architectures and conversational AI agents using ...
Lead delivery of Generative AI solutions utilizing Retrieval-Augmented Generation (RAG) architectures and Large Language Models (LLMs). * Coordinate activities between Government stakeholders ...
Lead delivery of Generative AI solutions utilizing Retrieval-Augmented Generation (RAG) architectures and Large Language Models (LLMs). * Coordinate activities between Government stakeholders ...
Lead delivery of Generative AI solutions utilizing Retrieval-Augmented Generation (RAG) architectures and Large Language Models (LLMs). * Coordinate activities between Government stakeholders ...
Lead delivery of Generative AI solutions utilizing Retrieval-Augmented Generation (RAG) architectures and Large Language Models (LLMs). * Coordinate activities between Government stakeholders ...
Drive the firm's adoption of AI engineering best practices, including prompt engineering, model evaluation, retrieval-augmented generation (RAG), Model Context Protocol (MCP), vector search, tool ...
Drive the firm's adoption of AI engineering best practices, including prompt engineering, model evaluation, retrieval-augmented generation (RAG), Model Context Protocol (MCP), vector search, tool ...
Drive the firm's adoption of AI engineering best practices, including prompt engineering, model evaluation, retrieval-augmented generation (RAG), Model Context Protocol (MCP), vector search, tool ...
Drive the firm's adoption of AI engineering best practices, including prompt engineering, model evaluation, retrieval-augmented generation (RAG), Model Context Protocol (MCP), vector search, tool ...
Python Developer
Tampa, FL · On-site
$47.50 - $65.50/hr
... • Retrieval-Augmented Generation (RAG) • Model fine-tuning Company : Echo IT Solutions provides IT consulting, managed services, cloud, cybersecurity, data, and custom software development.
Python Developer
Tampa, FL · On-site
$47.50 - $65.50/hr
... • Retrieval-Augmented Generation (RAG) • Model fine-tuning Company : Echo IT Solutions provides IT consulting, managed services, cloud, cybersecurity, data, and custom software development.
IT AI Innovation Engineer
Tampa, FL · On-site
Build advanced AI workflows such as retrieval-augmented generation (RAG) pipelines, prompt chaining, contract automation, and interactive Q&A assistants for attorneys and legal support teams. * Full ...
IT AI Innovation Engineer
Tampa, FL · On-site
Build advanced AI workflows such as retrieval-augmented generation (RAG) pipelines, prompt chaining, contract automation, and interactive Q&A assistants for attorneys and legal support teams. * Full ...
Develop RAG (Retrieval-Augmented Generation) applications for enterprise knowledge and search use cases. * Build document ingestion and processing pipelines, including: * Data extraction * Chunking
Develop RAG (Retrieval-Augmented Generation) applications for enterprise knowledge and search use cases. * Build document ingestion and processing pipelines, including: * Data extraction * Chunking
Design and implement advanced generative AI methods, including sophisticated prompt engineering and Retrieval-Augmented Generation (RAG) . * Build and optimize RAG systems , including hybrid search ...
Design and implement advanced generative AI methods, including sophisticated prompt engineering and Retrieval-Augmented Generation (RAG) . * Build and optimize RAG systems , including hybrid search ...
Design and implement advanced generative AI methods, including sophisticated prompt engineering and Retrieval-Augmented Generation (RAG) . * Build and optimize RAG systems , including hybrid search ...
New
Design and implement advanced generative AI methods, including sophisticated prompt engineering and Retrieval-Augmented Generation (RAG) . * Build and optimize RAG systems , including hybrid search ...
New
Data Engineer
Tampa, FL · On-site
$108K - $129K/yr
This role focuses heavily on building reliable RAG (Retrieval-Augmented Generation) pipelines, orchestrating ETL/ELT processes, and deploying scalable data systems in AWS. Responsibilities * Design ...
Data Engineer
Tampa, FL · On-site
$108K - $129K/yr
This role focuses heavily on building reliable RAG (Retrieval-Augmented Generation) pipelines, orchestrating ETL/ELT processes, and deploying scalable data systems in AWS. Responsibilities * Design ...
Gen AI Tech Lead
Tampa, FL · On-site
... Retrieval-Augmented Generation (RAG) systems and techniques. • Experience designing and implementing agentic AI architectures, autonomous workflows, or multi-agent systems. • Familiarity with ...
Gen AI Tech Lead
Tampa, FL · On-site
... Retrieval-Augmented Generation (RAG) systems and techniques. • Experience designing and implementing agentic AI architectures, autonomous workflows, or multi-agent systems. • Familiarity with ...
Gen AI Tech Lead
Tampa, FL · On-site
$132K - $162K/yr
... Retrieval-Augmented Generation (RAG) systems and techniques. • Experience designing and implementing agentic AI architectures, autonomous workflows, or multi-agent systems. • Familiarity with ...
Gen AI Tech Lead
Tampa, FL · On-site
$132K - $162K/yr
... Retrieval-Augmented Generation (RAG) systems and techniques. • Experience designing and implementing agentic AI architectures, autonomous workflows, or multi-agent systems. • Familiarity with ...
Retrieval Augmented Generation Rag information
See Tampa, FL salary details
$14.31 - $15.30
6% of jobs
$16.22 is the 25th percentile. Wages below this are outliers.
$15.30 - $16.29
20% of jobs
$16.29 - $17.29
13% of jobs
The median wage is $17.99 / hr.
$17.29 - $18.28
15% of jobs
$18.28 - $19.27
13% of jobs
$19.80 is the 75th percentile. Wages above this are outliers.
$19.27 - $20.26
15% of jobs
$20.26 - $21.25
3% of jobs
$21.25 - $22.24
2% of jobs
$22.24 - $23.23
4% of jobs
$23.23 - $24.22
7% of jobs
$24.22 - $25.22
1% of jobs
$14
$19
$25
How much do retrieval augmented generation rag jobs pay per hour?
As of Aug 29, 2026, the average hourly pay for retrieval augmented generation rag in Tampa, FL is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $20.00 per hour, depending on experience, location, and employer.
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For Retrieval Augmented Generation Rag jobs in Tampa, FL, the most frequently searched job titles are:
What job categories do people searching Retrieval Augmented Generation Rag jobs in Tampa, FL look for?
The top searched job categories for Retrieval Augmented Generation Rag jobs in Tampa, FL are:
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Cities near Tampa, FL with the most Retrieval Augmented Generation Rag job openings:
Contractor
Re-posted 27 days ago
Job description
**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
Bill Rate: market rate/hr
GBaMS ReqID: 10585280
MSP Owner: Tory Robinson
Location: Tampa, FL - 100% Onsite
Duration: 6 + months
AI Lead/Solution Architect
Job Summary
As a Solution Architect with a focus on AI-driven intelligent systems, you will lead the design, development, and
deployment of advanced NLP and cognitive search solutions using Python, Lang chain, LangGraph,
Retrieval-Augmented Generation (RAG), and Agentic AI models.
Key Responsibilities
• Design and architect scalable, maintainable AI solutions that integrate Lang chain, LangGraph, and RAG
methodologies to enhance knowledge discovery and conversational AI capabilities.
• Lead development efforts using Python to prototype and productionize AI agents and workflows.
• Collaborate with data engineering and DevOps teams to implement data pipelines and model deployment
strategies.
• Develop and optimize RAG systems combining vector search, knowledge graphs, and LLMs to provide
contextual and accurate responses.
• Architect agentic AI systems that perform autonomous tasks by chaining actions, managing states, and
integrating external APIs.
• Provide technical leadership and architecture guidance for AI and NLP projects.
• Evaluate emerging AI technologies and frameworks to continuously improve solution design.
• Create comprehensive technical documentation and architecture diagrams to facilitate knowledge transfer.
• Ensure solutions meet security, compliance, and performance standards.
Required Skills and Qualifications
. • Strong proficiency in Python, with experience in backend or AI service development.
• Hands-on experience with Lang chain and/or LangGraph frameworks.
• Deep understanding of Retrieval-Augmented Generation (RAG) systems and techniques.
• Experience designing and implementing agentic AI architectures, autonomous workflows, or
multi-agent systems.
• Familiarity with knowledge graphs, vector search engines (e.g., FAISS, Pinecone, We aviate),
and LLM integration.
• Solid understanding of NLP concepts, transformer models, and prompt engineering.
• Ability to translate complex business requirements into scalable AI solutions.
• Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker,
• Kubernetes).
• Strong communication skills and ability to collaborate across multidisciplinary teams
Role Descriptions: Job SummaryAs a Solution Architect with a focus on AI-driven intelligent systems| you will lead the design| development| and deployment of advanced NLP and cognitive search solutions using Python| Langchain| LangGraph| Retrieval-Augmented Generation (RAG)| and Agentic AI models.Key ResponsibilitiesDesign and architect scalable| maintainable AI solutions that integrate Langchain| LangGraph| and RAG methodologies to enhance knowledge discovery and conversational AI capabilities.Lead development efforts using Python to prototype and productionize AI agents and workflows.Collaborate with data engineering and DevOps teams to implement data pipelines and model deployment strategies.Develop and optimize RAG systems combining vector search| knowledge graphs| and LLMs to provide contextual and accurate responses.Architect agentic AI systems that perform autonomous tasks by chaining actions| managing states| and integrating external APIs.Provide technical leadership and architecture guidance for AI and NLP projects.Evaluate emerging AI technologies and frameworks to continuously improve solution design.Create comprehensive technical dJob SummaryAs a Solution Architect with a focus on AI-driven intelligent systems| you will lead the design| development| and deployment of advanced NLP and cognitive search solutions using Python| Langchain| LangGraph| Retrieval-Augmented Generation (RAG)| and Agentic AI models.Key ResponsibilitiesDesign and architect scalable| maintainable AI solutions that integrate Langchain| LangGraph| and RAG methodologies to enhance knowledge discovery and conversational AI capabilities.Lead development efforts using Python to prototype and productionize AI agents and workflows.Collaborate with data engineering and DevOps teams to implement data pipelines and model deployment strategies.Develop and optimize RAG systems combining vector search| knowledge graphs| and LLMs to provide contextual and accurate responses.Architect ageocumentation and architecture diagrams to facilitate knowledge transfer.Ensure solutions meet security| compliance| and performance standards..Required Skills and Qualifications. Strong proficiency in Python| with experience in backend or AI service development.Hands-on experience with Langchain andor LangGraph frameworks.Deep understanding of Retrieval-Augmented Generation (RAG) systems and techniques.Experience designing and implementing agentic AI architectures| autonomous workflows| or multi-agent systems.Familiarity with knowledge graphs| vector search engines (e.g.| FAISS| Pinecone| Weaviate)| and LLM integration.Solid understanding of NLP concepts| transformer models| and prompt engineering.Ability to translate complex business requirements into scalable AI solutions.Experience with cloud platforms (AWS| GCP| Azure) and container orchestration (Docker| Kubernetes).Strong communication skills and ability to collaborate across multidisciplinary teams
Essential Skills: Job SummaryAs a Solution Architect with a focus on AI-driven intelligent systems| you will lead the design| development| and deployment of advanced NLP and cognitive search solutions using Python| Langchain| LangGraph| Retrieval-Augmented Generation (RAG)| and Agentic AI models.Key ResponsibilitiesDesign and architect scalable| maintainable AI solutions that integrate Langchain| LangGraph| and RAG methodologies to enhance knowledge discovery and conversational AI capabilities.Lead development efforts using Python to prototype and productionize AI agents and workflows.Collaborate with data engineering and DevOps teams to implement data pipelines and model deployment strategies.Develop and optimize RAG systems combining vector search| knowledge graphs| and LLMs to provide contextual and accurate responses.Architect agentic AI systems that perform autonomous tasks by chaining actions| managing states| and integrating external APIs.Provide technical leadership and architecture guidance for AI and NLP projects.Ev
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
Bill Rate: market rate/hr
GBaMS ReqID: 10585280
MSP Owner: Tory Robinson
Location: Tampa, FL - 100% Onsite
Duration: 6 + months
AI Lead/Solution Architect
Job Summary
As a Solution Architect with a focus on AI-driven intelligent systems, you will lead the design, development, and
deployment of advanced NLP and cognitive search solutions using Python, Lang chain, LangGraph,
Retrieval-Augmented Generation (RAG), and Agentic AI models.
Key Responsibilities
• Design and architect scalable, maintainable AI solutions that integrate Lang chain, LangGraph, and RAG
methodologies to enhance knowledge discovery and conversational AI capabilities.
• Lead development efforts using Python to prototype and productionize AI agents and workflows.
• Collaborate with data engineering and DevOps teams to implement data pipelines and model deployment
strategies.
• Develop and optimize RAG systems combining vector search, knowledge graphs, and LLMs to provide
contextual and accurate responses.
• Architect agentic AI systems that perform autonomous tasks by chaining actions, managing states, and
integrating external APIs.
• Provide technical leadership and architecture guidance for AI and NLP projects.
• Evaluate emerging AI technologies and frameworks to continuously improve solution design.
• Create comprehensive technical documentation and architecture diagrams to facilitate knowledge transfer.
• Ensure solutions meet security, compliance, and performance standards.
Required Skills and Qualifications
. • Strong proficiency in Python, with experience in backend or AI service development.
• Hands-on experience with Lang chain and/or LangGraph frameworks.
• Deep understanding of Retrieval-Augmented Generation (RAG) systems and techniques.
• Experience designing and implementing agentic AI architectures, autonomous workflows, or
multi-agent systems.
• Familiarity with knowledge graphs, vector search engines (e.g., FAISS, Pinecone, We aviate),
and LLM integration.
• Solid understanding of NLP concepts, transformer models, and prompt engineering.
• Ability to translate complex business requirements into scalable AI solutions.
• Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker,
• Kubernetes).
• Strong communication skills and ability to collaborate across multidisciplinary teams
Role Descriptions: Job SummaryAs a Solution Architect with a focus on AI-driven intelligent systems| you will lead the design| development| and deployment of advanced NLP and cognitive search solutions using Python| Langchain| LangGraph| Retrieval-Augmented Generation (RAG)| and Agentic AI models.Key ResponsibilitiesDesign and architect scalable| maintainable AI solutions that integrate Langchain| LangGraph| and RAG methodologies to enhance knowledge discovery and conversational AI capabilities.Lead development efforts using Python to prototype and productionize AI agents and workflows.Collaborate with data engineering and DevOps teams to implement data pipelines and model deployment strategies.Develop and optimize RAG systems combining vector search| knowledge graphs| and LLMs to provide contextual and accurate responses.Architect agentic AI systems that perform autonomous tasks by chaining actions| managing states| and integrating external APIs.Provide technical leadership and architecture guidance for AI and NLP projects.Evaluate emerging AI technologies and frameworks to continuously improve solution design.Create comprehensive technical dJob SummaryAs a Solution Architect with a focus on AI-driven intelligent systems| you will lead the design| development| and deployment of advanced NLP and cognitive search solutions using Python| Langchain| LangGraph| Retrieval-Augmented Generation (RAG)| and Agentic AI models.Key ResponsibilitiesDesign and architect scalable| maintainable AI solutions that integrate Langchain| LangGraph| and RAG methodologies to enhance knowledge discovery and conversational AI capabilities.Lead development efforts using Python to prototype and productionize AI agents and workflows.Collaborate with data engineering and DevOps teams to implement data pipelines and model deployment strategies.Develop and optimize RAG systems combining vector search| knowledge graphs| and LLMs to provide contextual and accurate responses.Architect ageocumentation and architecture diagrams to facilitate knowledge transfer.Ensure solutions meet security| compliance| and performance standards..Required Skills and Qualifications. Strong proficiency in Python| with experience in backend or AI service development.Hands-on experience with Langchain andor LangGraph frameworks.Deep understanding of Retrieval-Augmented Generation (RAG) systems and techniques.Experience designing and implementing agentic AI architectures| autonomous workflows| or multi-agent systems.Familiarity with knowledge graphs| vector search engines (e.g.| FAISS| Pinecone| Weaviate)| and LLM integration.Solid understanding of NLP concepts| transformer models| and prompt engineering.Ability to translate complex business requirements into scalable AI solutions.Experience with cloud platforms (AWS| GCP| Azure) and container orchestration (Docker| Kubernetes).Strong communication skills and ability to collaborate across multidisciplinary teams
Essential Skills: Job SummaryAs a Solution Architect with a focus on AI-driven intelligent systems| you will lead the design| development| and deployment of advanced NLP and cognitive search solutions using Python| Langchain| LangGraph| Retrieval-Augmented Generation (RAG)| and Agentic AI models.Key ResponsibilitiesDesign and architect scalable| maintainable AI solutions that integrate Langchain| LangGraph| and RAG methodologies to enhance knowledge discovery and conversational AI capabilities.Lead development efforts using Python to prototype and productionize AI agents and workflows.Collaborate with data engineering and DevOps teams to implement data pipelines and model deployment strategies.Develop and optimize RAG systems combining vector search| knowledge graphs| and LLMs to provide contextual and accurate responses.Architect agentic AI systems that perform autonomous tasks by chaining actions| managing states| and integrating external APIs.Provide technical leadership and architecture guidance for AI and NLP projects.Ev