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Entry Level Artificial Intelligence Engineer Jobs in Florida

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

... Engineer to design, build, and maintain secure, scalable, and high-performing cloud systems that ... for artificial intelligence, machine learning, and cognitive computing initiatives. If youre ...

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

... Engineer to design, build, and maintain secure, scalable, and high-performing cloud systems that ... artificial intelligence, machine learning, and cognitive computing initiatives. If you're ...

OPS Engineer

Gainesville, FL · On-site

$35.92 - $40.71/hr

Computer Science, Artificial Intelligence, Engineering, Physical/Mathematical Sciences Department: 19010605 - EG-FL APPLIED RESEARCH ENTRPS Classification Title:OPS Engineer Classification Minimum ...

... artificial intelligence. We simplify complex processes including passports, travel visas, vehicle ... We are looking for a talented Back-End Software Engineer to join our on-site engineering team in ...

... artificial intelligence. We simplify complex processes including passports, travel visas, vehicle ... We are looking for a talented Front-End Software Engineer to join our on-site engineering team in ...

Practical use of Artificial Intelligence desired. Education * Mechanical, aerospace, electrical engineering, or physics bachelor's degree. Qualifications * Two or more years of experience developing ...

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Entry Level Artificial Intelligence Engineer information

See Florida salary details

$22.4K

$51.8K

$88.2K

How much do entry level artificial intelligence engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for entry level artificial intelligence engineer in Florida is $51,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $58,700.00 per year, depending on experience, location, and employer.

What kind of projects or tasks does an entry level artificial intelligence engineer typically work on?

Entry Level Artificial Intelligence Engineers often assist with data collection and preprocessing, implement and test machine learning models, and support research or production teams in developing AI solutions. You may help analyze large datasets, tune model parameters, write scripts for automation, and contribute to code reviews or documentation. Collaboration is common, as you’ll often work closely with data scientists, senior AI engineers, and product managers to advance ongoing projects. These experiences provide a strong foundation for developing your technical skills and understanding how AI solutions are built and deployed in real business environments.

What are the key skills and qualifications needed to thrive as an entry level artificial intelligence engineer?

To thrive as an Entry Level Artificial Intelligence Engineer, you need a solid background in programming (especially Python), mathematics (linear algebra, statistics), and foundational machine learning concepts, often demonstrated through a relevant degree or project experience. Familiarity with key AI frameworks such as TensorFlow or PyTorch, version control systems like Git, and optionally certifications like Google’s TensorFlow Developer Certificate are valuable assets. Strong problem-solving skills, curiosity, and the ability to collaborate and communicate clearly within teams will help you stand out. These competencies are crucial for contributing effectively to real-world AI projects, learning on the job, and advancing in this rapidly evolving field.

What is an entry level artificial intelligence engineer?

An Entry Level Artificial Intelligence Engineer is responsible for developing AI models, writing algorithms, and working with data to build intelligent systems. They typically assist in training machine learning models, optimizing performance, and integrating AI solutions into applications. This role requires knowledge of programming languages like Python, machine learning frameworks, and data processing techniques. Entry-level AI engineers often collaborate with data scientists and software engineers to improve AI functionalities. Employers usually look for candidates with a degree in computer science, engineering, or a related field, along with hands-on experience in AI projects.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in Florida?

The most popular types of Artificial Intelligence Engineer jobs in Florida are:

What job categories do people searching Entry Level Artificial Intelligence Engineer jobs in Florida look for?

The top searched job categories for Entry Level Artificial Intelligence Engineer jobs in Florida are:

What cities in Florida are hiring for Entry Level Artificial Intelligence Engineer jobs?

Cities in Florida with the most Entry Level Artificial Intelligence Engineer job openings:

Infographic showing various Entry Level Artificial Intelligence Engineer job openings in Florida as of August 2026, with employment types broken down into 3% Internship, 84% Full Time, 6% Part Time, 3% Temporary, and 4% Contract. Highlights an 85% In-person, 9% Hybrid, and 6% Remote job distribution, with an average salary of $51,834 per year, or $24.9 per hour.

Artificial Intelligence (AI) Engineer III (2316)

Morson Talent

Melbourne, FL • Hybrid

$55 - $62/hr

Full-time

Re-posted 12 days ago


Job description

Job Description Title: Artificial Intelligence (AI) Engineer III (2316) Location: Melbourne, Florida Openings: 1 Work Model: Hybrid, 2 - 3 days in office Job Type: Contract Duration: 1 Year Rate: $61/hour (W2) + Benefits Hours: 40 hours/week, 8 - 5 Project: Technology Division Position Summary: An AI (Artificial Intelligence) Engineer develops and trains AI models to automate processes and solve complex problems. They design and implement AI systems, ensuring they function effectively and align with business objectives. Responsibilities: Evaluate machine learning processes and select appropriate models.

Collect and analyze large datasets to train AI models. Develop and deploy AI algorithms and systems. Collaborate with cross functional teams to establish goals for AI processes.

Test and validate AI models to ensure accuracy and effectiveness. Manage data and project infrastructure. Stay updated on the latest AI developments and technologies.

Strong Large Language Model (LLM) Expertise Handson experience finetuning, adapting, and deploying LLMs, including prompt engineering, embeddings, and context management. LLM Application & System Architecture Proven ability to design and implement productiongrade LLM solutions such as RAG pipelines, agents, and tool/functioncalling systems. Production MLOps & Model Lifecycle Management Experience owning the endtoend ML lifecycle, including CI/CD, deployment, monitoring, versioning, and performance/cost optimization.

Advanced Python & Software Engineering Strong Python skills with experience building scalable, testable APIs and services that integrate ML/LLM models into enterprise systems. CloudBased Scalable ML Infrastructure Handson experience with AWS, Azure, or GCP, including containerization (Docker), orchestration (Kubernetes), and GPUbased ML workloads. Qualifications: Masters degree in Computer Science, Engineering, or a related field.

Proven experience as an AI Engineer or in a similar role. Strong programming skills in languages such as Python, R, or Java. Experience with machine learning frameworks and libraries.

Excellent analytical and problem-solving abilities. Effective communication and collaboration skills.