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Apprentice Generative Ai Engineer Jobs in Florida

Prophecy Technologies

Generative AI Engineer

Tampa, FL · On-site

The role is for an AI Engineer focused on designing, developing, and implementing machine learning and AI models, particularly Generative AI applications and Agentic AI solutions. The engineer will ...

Capco

Mid Level AI Engineer

Orlando, FL · Hybrid

The Role Capco is seeking a Generative AI Engineer to help design, develop, and deploy intelligent applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and ...

Diverse Lynx

AI ML Engineer

Sunrise, FL · Hybrid

GEN AI Engineer || Irving, TX - Onsite|| Fulltime || 2 - 4 years of experience Must Have Technical ... Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc. Good to have:

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Apprentice Generative Ai Engineer information

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior AI engineers, research directors, or executive positions in tech companies. These roles often require advanced skills in machine learning, deep learning, and experience with large-scale AI projects, along with leadership responsibilities and specialized certifications.

What engineers make $500,000?

Senior engineers in specialized fields such as software, data science, or AI engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Roles like senior AI or machine learning engineers often reach this level through bonuses, stock options, and other compensation components.

How can I become an AI engineer with no experience?

To become an AI engineer with no experience, start by learning programming languages like Python and studying machine learning fundamentals through online courses or tutorials. Gaining hands-on experience with tools such as TensorFlow or PyTorch and building small projects can help develop practical skills; internships or entry-level roles can also provide valuable industry exposure.

What is the difference between Apprentice Generative Ai Engineer vs Junior Data Scientist?

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

Which 3 jobs will survive AI?

For an Apprentice Generative AI Engineer, roles that require complex problem-solving, creativity, and emotional intelligence, such as AI ethics specialists, AI trainers, and human-centered design experts, are likely to persist. These jobs involve tasks that are difficult for AI to fully replicate and often require interdisciplinary skills and human judgment. Continuous learning and developing expertise in AI tools and ethical considerations will enhance job security in this field.
What are the most commonly searched types of Generative Ai Engineer jobs in Florida? The most popular types of Generative Ai Engineer jobs in Florida are:
What are popular job titles related to Apprentice Generative Ai Engineer jobs in Florida? For Apprentice Generative Ai Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Apprentice Generative Ai Engineer jobs in Florida look for? The top searched job categories for Apprentice Generative Ai Engineer jobs in Florida are:
What cities in Florida are hiring for Apprentice Generative Ai Engineer jobs? Cities in Florida with the most Apprentice Generative Ai Engineer job openings:
Apprentice Generative Ai Engineer jobs near you
Infographic showing various Apprentice Generative Ai Engineer job openings in Florida as of June 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Generative AI Engineer

Prophecy Technologies

Tampa, FL • On-site

Full-time

Posted 12 days ago

Job description

Role Overview:
The role is for an AI Engineer focused on designing, developing, and implementing machine learning and AI models, particularly Generative AI applications and Agentic AI solutions. The engineer will be responsible for building and optimizing deep learning, NLP, or computer vision models, deploying them into production, and working with large datasets.
Key Responsibilities:
  • Design, develop, and implement machine learning and AI models for business applications.
  • Build and optimize deep learning, NLP, or computer vision models depending on project requirements.
  • Deploy models into production using APIs, microservices, or cloud platforms.
  • Work with large datasets to clean, preprocess, and engineer features.
  • Monitor and maintain model performance, retraining when necessary.
  • Collaborate with cross-functional teams including product managers and data engineers.
  • Research and apply the latest developments in AI and machine learning.
  • Ensure scalability, security, and reliability of AI solutions.
  • Design and implement Generative AI applications using frameworks like LangChain, LlamaIndex, and LangGraph.
  • Build autonomous and semi-autonomous AI agents using AutoGen or CrewAI to solve complex business logic.
  • Develop and maintain scalable REST APIs using FastAPI or Flask to serve AI models and services.
  • Manage and optimize data retrieval using Elasticsearch, NoSQL databases, and Graph databases like Neo4j.
  • Establish robust pipelines for model monitoring, evaluation, and deployment to ensure high performance and reliability.
  • Collaborate with front-end teams to integrate AI features into React/Node.js environments.

Required Skills:
  • Strong programming skills in Python (preferred) or Java C.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
  • Knowledge of deep learning, NLP, computer vision, or generative AI.
  • Expert-level Python (strong hands-on coding) and advanced SQL.
  • Frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.
  • Databases: ElasticSearch, NoSQL, and Neo4j.
  • AI/ML: Solid foundation in Machine Learning, Deep Learning, and LLM fine-tuning/prompt engineering.
  • Backend: Proven experience with FastAPI or Flask for production APIs.
  • Web: Familiarity with React and Node.js for full-stack AI integration.

Qualifications:
  • Minimum 2+ years of experience as an AI Engineer or in a similar specialized Machine Learning role.
  • Proven track record of deploying LLM-based applications to production.
  • Strong understanding of vector embeddings, semantic search, and RAG architectures.
  • Experience with Cloud environments (AWS/GCP/Azure) and CI/CD for ML (MLOps).

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