Gen AI Tech Lead
Tampa, FL · On-site
$132K - $162K/yr
... 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 ...
Gen AI Tech Lead
Tampa, FL · On-site
$132K - $162K/yr
... 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 ...
Developing and maintaining LLM-powered solutions| including prompt engineering| agent orchestration| tool calling| and Retrieval-Augmented Generation (RAG) implementations. Creating and supporting ...
Developing and maintaining LLM-powered solutions| including prompt engineering| agent orchestration| tool calling| and Retrieval-Augmented Generation (RAG) implementations. Creating and supporting ...
AI Engineer with Python
Sunrise, FL · On-site
Implement Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) * Deliver Gen AI use cases in live production environments Required Skills * Python programming ...
AI Engineer with Python
Sunrise, FL · On-site
Implement Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) * Deliver Gen AI use cases in live production environments Required Skills * Python programming ...
Sr. AI Developer - Remote
Jacksonville, FL · On-site
$50.50 - $66.75/hr
Prompt engineering and retrieval-augmented generation (RAG) for domain-specific applications * Healthcare industry background * Contributions to unstructured data and AI projects * Advanced degree ...
New
Sr. AI Developer - Remote
Jacksonville, FL · On-site
$50.50 - $66.75/hr
Prompt engineering and retrieval-augmented generation (RAG) for domain-specific applications * Healthcare industry background * Contributions to unstructured data and AI projects * Advanced degree ...
New
Information Technology_USA - USA_Developer
Jacksonville, FL · On-site
$48.75 - $62.75/hr
... agents, RAG knowledge retrieval) and the GoRules decision engine that powers case-routing and ... developer, TypeScript, React, AWS Pre-Screening Questionnaire *What are Regulated Positions ...
Information Technology_USA - USA_Developer
Jacksonville, FL · On-site
$48.75 - $62.75/hr
... agents, RAG knowledge retrieval) and the GoRules decision engine that powers case-routing and ... developer, TypeScript, React, AWS Pre-Screening Questionnaire *What are Regulated Positions ...
Information Technology_USA - USA_Developer
Jacksonville, FL · On-site
$100K - $136K/yr
... RAG architectures, and LLM deployment patterns.Familiarity with ML frameworks such as TensorFlow ... Senior DevOps Engineer - AI/ML Platform Engineering (AWS/Azure)This role will be instrumental in ...
Information Technology_USA - USA_Developer
Jacksonville, FL · On-site
$100K - $136K/yr
... RAG architectures, and LLM deployment patterns.Familiarity with ML frameworks such as TensorFlow ... Senior DevOps Engineer - AI/ML Platform Engineering (AWS/Azure)This role will be instrumental in ...
$120 - $190/hr
Hands-on experience integrating AI/LLM technologies into production systems -- RAG, prompt ... engineering, LLM orchestration, or agentic pipelines is a strong plus * Experience with high ...
New
$120 - $190/hr
Hands-on experience integrating AI/LLM technologies into production systems -- RAG, prompt ... engineering, LLM orchestration, or agentic pipelines is a strong plus * Experience with high ...
New
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 ...
Quick apply
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 ...
Staff AI Engineer
Boca Raton, FL · On-site
$180 - $240/hr
As a Staff AI Engineer, you define and drive the architecture of AI and agentic systems across ... You set direction for multi-agent orchestration, production RAG (hybrid search, re-ranking, and ...
Staff AI Engineer
Boca Raton, FL · On-site
$180 - $240/hr
As a Staff AI Engineer, you define and drive the architecture of AI and agentic systems across ... You set direction for multi-agent orchestration, production RAG (hybrid search, re-ranking, and ...
Forward Deployed Engineer - Core Java / LLM / Azure Location: Lake Mary, FL Key Requirements ... Hands-on experience with RAG, Agentic AI, Multi-Agent Systems, MCP, LangGraph, CrewAI, AutoGen ...
Forward Deployed Engineer - Core Java / LLM / Azure Location: Lake Mary, FL Key Requirements ... Hands-on experience with RAG, Agentic AI, Multi-Agent Systems, MCP, LangGraph, CrewAI, AutoGen ...
Staff AI Engineer
Boca Raton, FL · On-site
As a Staff AI Engineer, you define and drive the architecture of AI and agentic systems across ... You set direction for multi-agent orchestration, production RAG (hybrid search, re-ranking, and ...
Staff AI Engineer
Boca Raton, FL · On-site
As a Staff AI Engineer, you define and drive the architecture of AI and agentic systems across ... You set direction for multi-agent orchestration, production RAG (hybrid search, re-ranking, and ...
As a Staff AI Engineer, you define and drive the architecture of AI and agentic systems across ... You set direction for multi-agent orchestration, production RAG (hybrid search, re-ranking, and ...
As a Staff AI Engineer, you define and drive the architecture of AI and agentic systems across ... You set direction for multi-agent orchestration, production RAG (hybrid search, re-ranking, and ...
Guide the offshore team (AI/ML engineers, data engineers) Technology and Skills: * 12+ years software/AI engineering; 1-2+ years enterprise AI or agentic system design * Hands-on RAG: LlamaIndex or ...
Guide the offshore team (AI/ML engineers, data engineers) Technology and Skills: * 12+ years software/AI engineering; 1-2+ years enterprise AI or agentic system design * Hands-on RAG: LlamaIndex or ...
Principal AI Engineer - Vice President
Tampa, FL · On-site
$120 - $160/hr
LLM, RAG, and Generative AI Engineering * Build advanced Retrieval‑Augmented Generation (RAG) architectures, including hybrid retrieval, query planning, and retrieval optimization. * Develop, tune ...
Principal AI Engineer - Vice President
Tampa, FL · On-site
$120 - $160/hr
LLM, RAG, and Generative AI Engineering * Build advanced Retrieval‑Augmented Generation (RAG) architectures, including hybrid retrieval, query planning, and retrieval optimization. * Develop, tune ...
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
$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 ...
Agentic AI Engineer - C2C requirements in FL
Orlando, FL · On-site
$140 - $168/hr
Develop scalable, production ready AI pipelines, including RAG, embeddings, and orchestration layers * Implement platform level best practices, reusable components, and engineering standards
New
Agentic AI Engineer - C2C requirements in FL
Orlando, FL · On-site
$140 - $168/hr
Develop scalable, production ready AI pipelines, including RAG, embeddings, and orchestration layers * Implement platform level best practices, reusable components, and engineering standards
New
Principal AI Engineer - Vice President
Tampa, FL · On-site
$125.60 - $188.40/hr
LLM, RAG, and Generative AI Engineering * Build advanced Retrieval‑Augmented Generation (RAG) architectures, including hybrid retrieval, query planning, and retrieval optimization. * Develop, tune ...
Principal AI Engineer - Vice President
Tampa, FL · On-site
$125.60 - $188.40/hr
LLM, RAG, and Generative AI Engineering * Build advanced Retrieval‑Augmented Generation (RAG) architectures, including hybrid retrieval, query planning, and retrieval optimization. * Develop, tune ...
Senior Generative AI Platform Engineer - Orlando, FL, Columbia, SC, Atlanta, GA, Charlotte, NC, Tamp
Orlando, FL · On-site
$101K - $137K/yr
... and AI developer platforms. Key Responsibilities • Design enterprise-grade Generative AI ... RAG pipelines using vector databases. • Develop REST APIs and FastAPI services. • Deploy AI ...
New
Senior Generative AI Platform Engineer - Orlando, FL, Columbia, SC, Atlanta, GA, Charlotte, NC, Tamp
Orlando, FL · On-site
$101K - $137K/yr
... and AI developer platforms. Key Responsibilities • Design enterprise-grade Generative AI ... RAG pipelines using vector databases. • Develop REST APIs and FastAPI services. • Deploy AI ...
New
... RAG pipelines backed by Opensearch and other data stores; automate infra with GitHub Actions; monitor latency, cost, adoption, and drift. • Data integrations - Partner with Data Engineering to ...
... RAG pipelines backed by Opensearch and other data stores; automate infra with GitHub Actions; monitor latency, cost, adoption, and drift. • Data integrations - Partner with Data Engineering to ...
Rag Developer information
What is the difference between Rag Developer vs Textile Technician?
| Aspect | Rag Developer | Textile Technician |
|---|---|---|
| Credentials | Typically requires a diploma or degree in textiles or related field | Requires similar qualifications, often with additional certifications in textile testing |
| Work Environment | Factories, textile mills, production plants | Laboratories, quality control departments, manufacturing facilities |
| Industry Usage | Used in textile manufacturing to develop and process rags for reuse or recycling | Involved 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 are popular job titles related to Rag Developer jobs in Florida?
For Rag Developer jobs in Florida, the most frequently searched job titles are:
- Internship Interior Plant Design
- Overnight Retrieval Augmented Generation
- Contract Generative Ai Prompt Engineer
- Internship Software Localization Engineer
- Manufacturing Engineer Internship
- Intern Work From Home Pcb Design Engineer
- Summer Freelance Aws Solution Architect
- Assistant Ai Developer
- Contract Generative Ai Product Management
- Internship Artificial Intelligence Engineer
What job categories do people searching Rag Developer jobs in Florida look for?
The top searched job categories for Rag Developer jobs in Florida are:
What cities in Florida are hiring for Rag Developer jobs?
Cities in Florida with the most Rag Developer job openings:
$132K - $162K/yr
Full-time
Re-posted 5 days ago
Job description
Job Summary:
Scalence L.L.C. is seeking a Gen AI Tech Lead to oversee the design, development, and deployment of advanced NLP and cognitive search solutions. The role involves leading development efforts in AI-driven intelligent systems and collaborating with multidisciplinary teams to implement scalable solutions using various AI methodologies.
Responsibilities:
• Design 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 documentation and architecture diagrams to facilitate knowledge transfer.
• Ensure solutions meet security, compliance, and performance standards.
Qualifications:
Required:
• Strong proficiency in Python, with experience in backend or AI service development.
• Hands-on experience with Langchain 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, 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.
• 5+ years of professional software engineering experience, with at least 2 years building LLM-powered or agentic applications in production.
• Strong Python skills async/await, type hints, modern tooling (uv, ruff, pyright).
• Hands-on experience with LangChain, LangGraph, or equivalent agent frameworks.
• Experience designing and operating microservices with async Python web frameworks (FastAPI, Starlette).
• Solid understanding of relational databases PostgreSQL, schema design, migrations (Alembic/similar), query optimization, and async ORMs (SQLAlchemy 2.0).
• Experience with message-driven architectures RabbitMQ, Kafka, or similar broker-based async processing.
• Familiarity with vector databases and embeddings building RAG pipelines, semantic search, chunking strategies.
• Working knowledge of React and TypeScript able to understand and modify frontend features, not just consume APIs.
• Experience with Docker, Kubernetes, and CI/CD in cloud environments (Azure preferred).
• Experience with LLM provider APIs (OpenAI API or compatible providers) model configuration, streaming responses, token management, and structured output.
• Strong understanding of prompt engineering system prompts, multi-agent prompt architectures.
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.
Scalence L.L.C. is seeking a Gen AI Tech Lead to oversee the design, development, and deployment of advanced NLP and cognitive search solutions. The role involves leading development efforts in AI-driven intelligent systems and collaborating with multidisciplinary teams to implement scalable solutions using various AI methodologies.
Responsibilities:
• Design 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 documentation and architecture diagrams to facilitate knowledge transfer.
• Ensure solutions meet security, compliance, and performance standards.
Qualifications:
Required:
• Strong proficiency in Python, with experience in backend or AI service development.
• Hands-on experience with Langchain 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, 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.
• 5+ years of professional software engineering experience, with at least 2 years building LLM-powered or agentic applications in production.
• Strong Python skills async/await, type hints, modern tooling (uv, ruff, pyright).
• Hands-on experience with LangChain, LangGraph, or equivalent agent frameworks.
• Experience designing and operating microservices with async Python web frameworks (FastAPI, Starlette).
• Solid understanding of relational databases PostgreSQL, schema design, migrations (Alembic/similar), query optimization, and async ORMs (SQLAlchemy 2.0).
• Experience with message-driven architectures RabbitMQ, Kafka, or similar broker-based async processing.
• Familiarity with vector databases and embeddings building RAG pipelines, semantic search, chunking strategies.
• Working knowledge of React and TypeScript able to understand and modify frontend features, not just consume APIs.
• Experience with Docker, Kubernetes, and CI/CD in cloud environments (Azure preferred).
• Experience with LLM provider APIs (OpenAI API or compatible providers) model configuration, streaming responses, token management, and structured output.
• Strong understanding of prompt engineering system prompts, multi-agent prompt architectures.
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.