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Salaried Rag Jobs in Florida (NOW HIRING)

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

Develop Retrieval-Augmented Generation (RAG) pipelines. * Work with vector databases for semantic ... Salary USD $120,000 - $150,000 per annum (Based on experience, skills, and location) Benefits

AI Architect

Miami, FL · On-site

$120K - $140K/yr

... RAG systems, vector search, and LLM-based knowledge platforms. • Strong hands-on experience with ... Salary Range: $120,000- $140,000 a year TCS Employee Benefits Summary: Discretionary Annual ...

AI Architect

Miami, FL · On-site

$120K - $140K/yr

... RAG systems, vector search, and LLM-based knowledge platforms. • Strong hands-on experience with ... Salary Range $120,000-$140,000 years TCS Employee Benefits Summary: Discretionary Annual Incentive.

Experience building or integrating applications with generative AI, LLMs, agentic workflows, RAG ... Salary Range 88,281.00USD -119,439.00USD

New

Experience with LLMs, RAG, vector databases, or agentic workflows. * Experience scaling SaaS products. * Experience in SEO, digital marketing, or MarTech. Benefits & Perks * Competitive salary ($180 ...

Google Senior Data Engineer

Miami, FL · On-site

$94K - $266K/yr

Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation ... Employee Benefits | Accenture Role Location Annual Salary Range California $94,400 to $266,300 ...

Google Data Specialist

Tampa, FL · On-site

$70K - $196K/yr

Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation ... Employee Benefits | Accenture Role Location Annual Salary Range California $70,350 to $196,000 ...

Google Senior Data Engineer

Tampa, FL · On-site

$94K - $266K/yr

Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation ... Employee Benefits | Accenture Role Location Annual Salary Range California $94,400 to $266,300 ...

Google Data Specialist

Miami, FL · On-site

$70K - $196K/yr

Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation ... Employee Benefits | Accenture Role Location Annual Salary Range California $70,350 to $196,000 ...

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Showing results 1-20

Salaried Rag information

What is the difference between Salaried Rag vs Salaried Technician?

AspectSalaried RagSalaried Technician
Required CredentialsHigh school diploma or equivalent, specialized trainingHigh school diploma, technical certification or associate degree
Work EnvironmentOffice or field-based, depending on industryIndustrial, manufacturing, or technical settings
Employer & Industry UsageMedia, printing, or creative industriesManufacturing, maintenance, or technical services
Common Search & ComparisonYesYes

The comparison shows that Salaried Rag and Salaried Technician share similar credential requirements and are used in related industries. Salaried Rag typically refers to roles in media or creative fields, while Salaried Technician is common in technical and industrial sectors. Both roles involve specialized skills and are salaried positions, but their work environments and industry applications differ.

What are the most commonly searched types of Rag jobs in Florida?

The most popular types of Rag jobs in Florida are:

What are popular job titles related to Salaried Rag jobs in Florida?

For Salaried Rag jobs in Florida, the most frequently searched job titles are:

What cities in Florida are hiring for Salaried Rag jobs?

Cities in Florida with the most Salaried Rag job openings:

AI/ML Engineer

Vultus Inc

Miami, FL • On-site, Remote

$120K - $150K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 24 days ago


Job description

AI/ML Engineer
Experience: 4–7 Years
Job Type: Full-Time
Location: Remote / Hybrid / Onsite
Department: Engineering

Job Summary

We are looking for a skilled AI/ML Engineer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate should have experience building scalable ML models, integrating Large Language Models (LLMs), and working with cloud-based AI services. You will collaborate with cross-functional teams to develop intelligent applications that solve real-world business problems.

Key Responsibilities
  • Design, develop, and deploy machine learning models.
  • Build and optimize Generative AI and LLM-based applications.
  • Fine-tune foundation models for business-specific use cases.
  • Develop Retrieval-Augmented Generation (RAG) pipelines.
  • Work with vector databases for semantic search applications.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Integrate AI models into production environments using APIs.
  • Monitor model performance and implement continuous improvements.
  • Collaborate with Product Managers, Data Scientists, and Software Engineers.
  • Maintain technical documentation and best practices.
Primary Skills
  • Python
  • Machine Learning
  • Deep Learning
  • Generative AI
  • Large Language Models (LLMs)
  • LangChain / LlamaIndex
  • Retrieval-Augmented Generation (RAG)
  • OpenAI API / Azure OpenAI
  • Vector Databases (Pinecone, FAISS, ChromaDB)
  • Prompt Engineering
  • TensorFlow / PyTorch
  • FastAPI
  • Docker
  • Git
Secondary Skills
  • SQL
  • Azure / AWS / GCP
  • Kubernetes
  • MLflow
  • Hugging Face Transformers
  • CI/CD Pipelines
  • REST APIs
  • Linux
  • Elasticsearch
  • Data Visualization (Power BI/Tableau)
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 4–7 years of experience in Machine Learning or AI development.
  • Strong programming skills in Python.
  • Experience with LLMs, RAG, and vector search implementations.
  • Knowledge of software development best practices and Agile methodologies.
  • Excellent problem-solving and communication skills.
Preferred Qualifications
  • Experience deploying AI applications on Azure or AWS.
  • Familiarity with MLOps tools and model monitoring.
  • Experience building AI-powered chatbots or intelligent assistants.
  • Relevant certifications in AI, Machine Learning, or Cloud technologies.
Salary

USD $120,000 – $150,000 per annum (Based on experience, skills, and location)

Benefits
  • Health, Dental, and Vision Insurance
  • Performance Bonus
  • Flexible Work Hours
  • Remote Work Options
  • Paid Time Off
  • Learning & Certification Reimbursement
  • Employee Wellness Programs
  • Career Growth Opportunities