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Genai Engineer Jobs in Florida (NOW HIRING)

WorkNovas LLC

Gen AI Engineer

Sunrise, FL · On-site

Gen AI Engineer Location: Sunrise, FL or Phoenix, AZ Hybrid role - In a week three days onsite ... In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready ...

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Genai Engineer information

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What are the key skills and qualifications needed to thrive as a GenAI engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

What are popular job titles related to Genai Engineer jobs in Florida?

For Genai Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Genai Engineer jobs in Florida look for?

The top searched job categories for Genai Engineer jobs in Florida are:

What cities in Florida are hiring for Genai Engineer jobs?

Cities in Florida with the most Genai Engineer job openings:

Genai Engineer jobs near you
Infographic showing various Genai Engineer job openings in Florida as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

GenAI Architect - Miami, FL (Hybrid)

NeoTech Solutions

Miami, FL • On-site

Other

Re-posted 15 days ago

Job description

Role: GenAI Architect
Location: Miami, FL (Hybrid)
Full Time

Role Summary:

  • Owns end to end client delivery for the project team
  • Owns end-to-end technical direction and client alignment for the agentic AI platform.
  • Primary technical interface with the client, translating business requirements into architecture spanning RAG pipelines, MCP connectors, and hybrid orchestration across Appian, ERP, DealCloud, Backstop CRM, Snowflake, and Graph DB.
  • Project Prioritization and SPOC for Persistent for any queries
  • Stakeholder mgmt
  • Risk mgmt
  • Participate in status report and governance meet.

Responsibilities:

  • Lead architecture across all AI layers: RAG, MCP connectors (action/data), agent orchestration
  • Define integration strategy leveraging existing client APIs, minimising custom build
  • Drive MCP connector design for Appian, ERP, DealCloud, Backstop, Snowflake, Graph DB
  • Own RAG pipeline decisions: chunking strategy, embedding model, Pinecone retrieval, re-ranking
  • Collaborate with client stakeholders (business + IT) to validate use cases
  • Guide the offshore team (AI/ML engineers, data engineers)

Technology and Skills:

  • 12+ years software/AI engineering; 1-2+ years enterprise AI or agentic system design
  • Hands-on RAG: LlamaIndex or LangChain, Pinecone, Azure OpenAI
  • Strong API integration: REST, OAuth
  • MCP / tool-layer design for LLM agents; FASTMCP a strong plus
  • Financial services platforms (DealCloud, Backstop, or similar) advantageous

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