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Ai Rag Jobs in Miami, FL (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.

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+ ...

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

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

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 ...

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 ...

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

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.

Job Title AI Architect Estimated Start Date ASAP Location Miami, FL Duration(Months) 6 months ... Proven track record architecting RAG systems, vector search, and LLM-based knowledge platforms.

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

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 ...

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 ...

AI Architect

Miami, FL · On-site

$120K - $140K/yr

Must Have Technical/Functional Skills • 1015 years in AI, ML, or enterprise architecture roles. • Proven track record architecting RAG systems, vector search, and LLM-based knowledge platforms ...

AI Architect

Miami, FL · On-site

$120K - $140K/yr

Must Have Technical/Functional Skills • 1015 years in AI, ML, or enterprise architecture roles. • Proven track record architecting RAG systems, vector search, and LLM-based knowledge platforms ...

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Showing results 1-20

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 Aug 20, 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 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 are popular job titles related to Ai Rag jobs in Miami, FL?

For Ai Rag jobs in Miami, FL, the most frequently searched job titles are:

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:

Lead Architect - Airvoyant

Trax USA Corp

Miami, FL • On-site

$52.75 - $72.50/hr

Full-time

Re-posted 2 days ago


Job description

Description:

About Us

Airvoyant is building AI-powered aviation software that transforms aircraft maintenance, supply chain operations, and fleet management. We leverage cloud-native technologies, AI, and intelligent automation to help airlines, MROs, and aviation suppliers improve operational efficiency and decision-making.


We are seeking a Lead Architect to define and drive the technical architecture of our AI-first platform. This role will lead the design of scalable cloud-native applications, Agentic AI solutions, enterprise integrations, and data platforms that power mission-critical aviation workflows.

The ideal candidate combines deep architecture expertise with hands-on experience building AI-enabled systems on AWS.


Responsibilities

  • Define and own the architecture strategy for Airvoyant's AI-powered platform.
  • Design scalable solutions leveraging Generative AI, Agentic AI, RAG, and intelligent automation.
  • Lead architecture for cloud-native applications, APIs, microservices, and event-driven systems.
  • Establish architectural standards, governance, security, and best practices.
  • Partner with Product, Engineering, and Data Science teams to translate business needs into scalable technical solutions.
  • Drive technology selection, proof-of-concepts, and architecture reviews.
  • Mentor engineering teams and provide technical leadership across the organization.
  • Design integrations with aviation, MRO, ERP, and supply chain systems.?
  • Other duties as assigned.
Requirements:

Required Skills and Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 10+ years of software engineering and architecture experience.
  • 5+ years architecting cloud-native applications on AWS.
  • Strong expertise in:
  • AI/LLM-based solutions
  • Agentic AI and RAG architectures
  • Microservices and distributed systems
  • API-first and event-driven architectures
  • Enterprise integration patterns
  • Hands-on experience with AWS services including Lambda, ECS/EKS, API Gateway, S3, RDS, EventBridge, SQS/SNS, CloudWatch, and IAM.
  • Experience designing highly scalable, secure, and resilient SaaS platforms.
  • Strong leadership, communication, and stakeholder management skills.?

Preferred Skills and Qualifications

  • Experience architecting data-intensive solutions leveraging Amazon RedShift and Amazon S3 Data lakes for analytics, AI/ML, and operational intelligence.
  • Experience with vector databases and AI orchestration platforms.
  • Aviation, MRO, airline operations, or supply chain domain experience.
  • AWS Solutions Architect certification.

Location: Miami preferred (or Dallas considered)

Job Type: Full-Time

Level: Senior / Principal

Travel: Less than 15%


Trax USA Corp. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.