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Ai Rag Jobs in Florida (NOW HIRING)

Mental Health Expert - Remote

Miami, FL ยท Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

Applied AI Engineer

Sunrise, FL ยท 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 ...

... of RAG models and their applications. Qualifications : Required : โ€ข Overall 6+ years' experience in Generative AI developer โ€ข Knowledge of LlamaIndex, a large-scale language model from Google ...

Knowledge Graphs & Graph RAG: Experience designing and delivering knowledge graphs (e.g., using ... Agentic AI & Multi-Agent Orchestration: Proven experience delivering agentic systems using Google ...

Build and support retrieval-augmented generation (RAG), embeddings, vector search, document ingestion pipelines, prompt workflows, and AI assistant capabilities for internal users and distributor ...

LLMs, Prompt Engineering & RAG Architecture * Agentic AI & Hybrid Prompting Techniques * LangChain, Hugging Face & LlamaIndex * AI Workflow Development & Model Deployment * Production AI Model ...

AI Architect

Miami, FL ยท On-site

AI Architect - Onsite Location: Miami, FL Duration: 6 months GBaMS ReqID: 10641871 JD: * 10-15 ... Proven track record architecting RAG systems, vector search, and LLM-based knowledge platforms.

Showing results 21-40

Ai Rag information

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 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 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 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 cities in Florida are hiring for Ai Rag jobs?

Cities in Florida with the most Ai Rag job openings:

Infographic showing various Ai Rag job openings in Florida as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

IT Systems Engineer III

Palm Beach Gardens, FL โ€ข On-site

Delan Associates, Inc
Engineering Professional Servicesย โ€ขย 51 - 200 employees

Full-time

Re-posted 12 days ago


Job description


Position Specific Description

Senior IT Programmer Analyst will be responsible for maintaining and enhancing a mission-critical, cloud-native web platform that supports storm response, damage assessment, field patrols, and electric-grid asset management within our Power Delivery IT organization. This role requires a strong background in full-stack software engineering, cloud (AWS) application development, and modern web delivery to build reliable, secure solutions used by field and operations teams including during active storm events.

Key Responsibilities:

  • Design, develop, and deploy full-stack features across a modern web platform front-end user experience, backend services, data layer, and supporting cloud infrastructure.
  • Build and maintain an interactive, map-based (geospatial) user experience and supporting analytics/reporting.
  • Enhance offline-capable functionality so the platform remains usable in low-connectivity field conditions.
  • Develop and support integrations with enterprise systems using modern event-driven and batch data patterns.
  • Contribute to an AI-powered assistant built on managed generative-AI cloud services.
  • Build and maintain infrastructure-as-code and CI/CD pipelines across development, QA, and production environments.
  • Collaborate with cross-functional teams IT, engineering, and operations to translate business needs into effective technical solutions.
  • Ensure reliability, performance, security, and compliance across the platform.
  • Provide level 3 support for the application and its embedded reporting.
  • Participate in Agile ceremonies, code reviews, and release management; stay current with emerging technologies and best practices.

Preferred Skills:

Angular, TypeScript, RxJS, NestJS / Node.js, PostgreSQL, Python, AWS (Lambda, S3, RDS, API Gateway), AWS CDK / CloudFormation, CI/CD (GitHub Actions), GIS / interactive mapping, Progressive Web Apps (offline-first), Generative AI (RAG), Power BI.

  • Experience building responsive, component-based front ends (Angular preferred; React/Vue transferable) with reactive/state-management patterns.
  • Experience with cloud-native backend development and RESTful API design.
  • Familiarity with cloud platforms (AWS preferred; Azure a plus) and their compute, storage, database, and messaging services.
  • Experience with relational databases and ORMs (PostgreSQL), plus schema design and migrations.
  • Experience with geospatial/GIS development, offline-first/PWA engineering, systems integration/ETL, or generative-AI applications is a plus.

Job Overview

This position assesses, designs, develops, integrates and troubleshoots technology to support business processes. Employees provide technical or functional guidance to project or work teams, as needed within specific or multiple disciplines. This position is accountable for ensuring the reliability, performance, security, and continuity of IT systems, as well as ensuring that excellent technical support services are provided.

Job Duties & Responsibilities

Analyzes, designs, develops, tests, debugs, implements, maintains, integrates, customizes and enhances existing or new systems

Applies appropriate Agile or development methodologies, system development lifecycles, tools, and technology

Automates the handoff of code releases from development to operations (DevOps)

Participates in the change management and service ticket management processes, including receiving, resolution monitoring and ensuring customer satisfaction

Leads projects when needed and builds strong working understanding of the solution being delivered

Ensures user satisfaction by providing preventative maintenance, troubleshooting, and timely resolution of more complex problems

Designs, develops and tests experimental application work to test new ideas with bounded cost and time frames

Ensures that applications processes are conducted in line with corporate social responsibility, security, compliance, environmental, and technical policies and applicable standards and legislation

Acts as liaison with regulatory agencies, vendors, and contractors on matters relating to computer systems as required

Defines metrics and monitors Service Level Agreements (SLAs) for systems being developed

Performs other job-related duties as assigned

Required Qualifications

High School Grad / GED

Bachelor's or Equivalent Experience

Experience: 4+ years

Preferred Qualifications

Bachelor's - Information Systems, Computer Science, or Software Engineering