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Ai Rag Jobs in Miami, FL (NOW HIRING)

ReturnPro

AI/ML Engineer

Aventura, FL · On-site

We are expanding our AI/ML capabilities to include generative AI-driven solutions, RAG applications, and predictive models for retail pricing using collected data from multiple sources. We are ...

ReturnPro

AI/ML Engineer

Aventura, FL

We are expanding our AI/ML capabilities to include generative AI-driven solutions, RAG applications, and predictive models for retail pricing using collected data from multiple sources. We are ...

Trax USA Corp

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.

Rivago infotech inc

AI Architect

Miami, FL · On-site

RAG, MCP connectors (action/data), agent orchestration · Define integration strategy leveraging ... AI/ML engineers, data engineers) Technology Stack: · 8-10+ years software/AI engineering; 1-2+ ...

Lorven Technologies

AI Architect

Miami, FL · On-site

RAG, MCP connectors (action/data), agent orchestration * Define integration strategy leveraging ... Guide the offshore team (AI/ML engineers, data engineers) Technology Stack * Bachelor's degree in ...

Vultus Inc

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 ...

New

Worth AI

Senior Agentic (AI) Engineer

Miami, FL · Remote

$107K - $146K/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 ...

Worth AI

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 ...

WAI GLOBAL

Analyst, AI Engineer

Hollywood, FL · On-site

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

VIS IT Solutions Inc

AI Architect

Miami, FL · On-site

Miami, FL Duration: 6 months GBaMS ReqID: 10641871 JD: • 10-15 years in AI, ML, or enterprise architecture roles. • Proven track record architecting RAG systems, vector search, and LLM-based ...

Seez

AI Backend Engineer

Fort Lauderdale, FL · Remote

Seez is an AI-powered automotive technology company transforming how vehicles are bought and sold ... Build and optimise Retrieval-Augmented Generation (RAG) pipelines and vector search solutions.

New

Seez

AI Backend Engineer

Fort Lauderdale, FL · On-site +1

Seez is an AI-powered automotive technology company transforming how vehicles are bought and sold ... Build and optimise Retrieval-Augmented Generation (RAG) pipelines and vector search solutions.

New

Seez

AI Backend Engineer

Fort Lauderdale, FL · On-site +1

Seez is an AI-powered automotive technology company transforming how vehicles are bought and sold ... Build and optimise Retrieval-Augmented Generation (RAG) pipelines and vector search solutions.

New

Brillius

AI Architect

Miami, FL · On-site

... RAG systems, vector search, and LLM-based knowledge platforms. • Strong hands-on experience with: o Python o Cloud ML platforms-Azure o Vector DBs (Pinecone, DB Vector) o LangChain / LlamaIndex or ...

Inficare Technologies

AI Engineer

Sunrise, FL · On-site

Experience with LangGraph, RAG, or MCP-style integrations * Hands-on experience with generative AI and prompt engineering * Experience with CI/CD pipelines and containerized deployments Preferred ...

Vish Consulting IT

AI Architect with AWS

Miami, FL · On-site

$62 - $81.25/hr

Strong expertise in AI/ML, NLP, LLM models, RAG pipelines, embeddings, and model fine-tuning. * Solid programming knowledge in Python, Java, or JavaScript. * Experience integrating AI components into ...

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All JobsAi Rag JobsAi Rag Jobs in Miami, FL

Ai Rag information

See Miami, FL salary details

$30.6K

$55.7K

$79.9K

How much do ai rag jobs pay per year?

As of Jul 26, 2026, the average yearly pay for ai rag in Miami, FL is $55,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,900.00 and $62,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

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.

Which AI is best at RAG?

For an AI Rag role, the best AI systems for Retrieval-Augmented Generation (RAG) tasks typically include models like OpenAI's GPT-4, Google's Bard, and Meta's Llama 2, which are capable of integrating retrieval components with language generation. Success in RAG depends on the model's ability to efficiently access and incorporate external data, as well as the implementation of effective retrieval mechanisms and fine-tuning. Skills in natural language processing, knowledge of retrieval systems, and experience with relevant tools are essential for this role.

What engineer makes 500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence or machine learning at large tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and requires advanced skills, extensive experience, and often a master's or Ph.D. in a related field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in data science, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in the field.

What are AI RAGs?

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.

Which 3 jobs will survive AI?

AI Rag is a role that involves managing and interpreting AI outputs, and jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Examples include healthcare professionals, skilled tradespeople, and roles in education. These jobs often require human judgment, interpersonal skills, and adaptability that AI cannot fully replicate.

What are some common challenges faced by AI RAG (Retrieval-Augmented Generation) 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 job categories do people searching Ai Rag jobs in Miami, FL look for? The top searched job categories for Ai Rag jobs in Miami, FL are:
What cities near Miami, FL are hiring for Ai Rag jobs? Cities near Miami, FL with the most Ai Rag job openings:
Ai Rag jobs near you

AI/ML Engineer

ReturnPro

Aventura, FL • On-site

Full-time

Posted 11 days ago

Job description

We are a leading provider of reverse logistics and returns management solutions, leveraging technology to optimize supply chains and maximize value recovery. We are expanding our AI/ML capabilities to include generative AI-driven solutions, RAG applications, and predictive models for retail pricing using collected data from multiple sources.
We are seeking an AI/ML Engineer with expertise in generative AI, RAG applications, AI agentic frameworks, and predictive modeling. This role will focus on developing pricing models for retail products, enhancing operational efficiency through AI automation, and applying cutting-edge techniques in LLMs, NLP, and agentic AI frameworks.
Primary Responsibilities/Essential Functions
This job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business.
Key Responsibilities
  • Design, build, and deploy predictive models for retail pricing using data from various internal and external sources.
  • Develop and fine-tune generative AI models (LLMs) for automation, data augmentation, and content generation.
  • Implement RAG (Retrieval-Augmented Generation) applications to enhance AI systems with dynamic information retrieval.
  • Build and integrate AI agentic frameworks for autonomous decision-making and task automation.
  • Build and maintain scalable machine learning pipelines for data processing, training, and inference.
  • Collaborate with cross-functional teams (data engineering, operations, and business) to define AI/ML use cases and deliver solutions.
  • Monitor and improve model performance, ensuring robustness, scalability, and reliability.
  • Utilize tools like OpenAI API, Hugging Face, LangChain, LlamaIndex, and cloud platforms (AWS, Azure, GCP) for AI development and deployment.

Required:
• 5+ years of experience in AI/ML engineering with a strong focus on generative AI, RAG applications, and predictive modeling.
• Proficiency in Python and AI/ML libraries like TensorFlow, PyTorch, and Scikit-Learn.
• Hands-on experience with LLMs, NLP models, prompt engineering, and tools like OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and AI agentic frameworks.
• Strong understanding of data preprocessing, feature engineering, and model selection for time series and pricing data.
• Experience in building and deploying ML models on cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).
• Knowledge of MLOps best practices, including CI/CD pipelines, version control, and model monitoring.
• Excellent problem-solving skills and ability to communicate complex AI concepts clearly.
Preferred:
• Experience with AI-driven pricing optimization in retail, logistics, or e-commerce.
• Experience developing and deploying RAG systems for dynamic content retrieval.
• Familiarity with AI agentic frameworks for building autonomous AI agents.
• Prior work in AI automation for supply chain, demand forecasting, or pricing strategies.
• Strong knowledge of AI/ML ethics, ensuring fairness and bias mitigation in models.

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