ZipRecruiter

Log In

1

Full Stack Ai Engineer Jobs in Florida (NOW HIRING)

Lennar

Principal Full Stack Engineer

Miami, FL · On-site

Principal Full Stack Engineer We are Lennar Lennar is one of the nation's leading homebuilders ... Drive AI engineering strategy across the stack, authoring RFCs and leading design reviews that ...

Lennar

Principal Full Stack Engineer

Miami, FL · On-site

Principal Full Stack Engineer We are Lennar Lennar is one of the nation's leading homebuilders ... Drive AI engineering strategy across the stack, authoring RFCs and leading design reviews that ...

next page

Showing results 1-20

All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Florida

Full Stack Ai Engineer information

See Florida salary details

$33.3K

$100.7K

$142.4K

How much do full stack ai engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for full stack ai engineer in Florida is $100,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,900.00 and $118,100.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are popular job titles related to Full Stack Ai Engineer jobs in Florida?

For Full Stack Ai Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Full Stack Ai Engineer jobs in Florida look for?

The top searched job categories for Full Stack Ai Engineer jobs in Florida are:

What cities in Florida are hiring for Full Stack Ai Engineer jobs?

Cities in Florida with the most Full Stack Ai Engineer job openings:

Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Florida as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $100,713 per year, or $48.4 per hour.

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
: /hr
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Shilpa Bajpai
Location: Tampa, FL-- 100% onsite position
Duration: 6 months
skill id: 10631330
Key Responsibilities:
• AI Development: Design and implement Generative AI applications using frameworks like LangChain, LlamaIndex, and LangGraph.
• Agentic Solutions: Build autonomous and semi-autonomous AI agents using AutoGen or CrewAI to solve complex business logic.
• Backend & APIs: Develop and maintain scalable REST APIs using FastAPI or Flask to serve AI models and services.
• Data Architecture: Manage and optimize data retrieval using Elasticsearch, NoSQL databases, and Graph databases like Neo4j.
• LLMOps & MLOps: Establish robust pipelines for model monitoring, evaluation, and deployment to ensure high performance and reliability.
• Full-Stack Integration: Collaborate with front-end teams to integrate AI features into React/Node.js environments.
Required Technical Skills:
• Languages: 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).
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Docker~Digital : Kubernetes
Experience Required: 6-8, Project Code :

Apply