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Artificial Intelligence Software Engineer Jobs in Florida

We sell artificial intelligence software to traders in the financial markets.  Wall Street is not going away and neither is artificial intelligence.  If you want longevity, stability, financial ...

We sell artificial intelligence software to traders in the financial markets.  Wall Street is not going away and neither is artificial intelligence.  If you want longevity, stability, financial ...

We sell artificial intelligence software to traders in the financial markets.  Wall Street is not going away and neither is artificial intelligence.  If you want longevity, stability, financial ...

The Tax Artificial Intelligence Manager leads the engineering team responsible for building and ... Manage and mentor software engineers, quality assurance professionals, and businessanalyst ...

We sell artificial intelligence software to traders in the financial markets.  Wall Street is not going away and neither is artificial intelligence.  If you want longevity, stability, financial ...

The Lead Innovation Software Engineer should be an active user of artificial intelligence and a thoughtful advocate for responsible adoption. This person brings creativity, analytical thinking, and ...

Role: Software Engineer Type: Full-Time Location: Orlando, FL - Hybrid Reports to: Software ... Knowledge of artificial intelligence (AI) and machine learning (ML). * Knowledge of event driven ...

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Showing results 1-20

Artificial Intelligence Software Engineer information

See Florida salary details

$47.5K

$110.2K

$153.6K

How much do artificial intelligence software engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for artificial intelligence software engineer in Florida is $110,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $129,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Software Engineer, and why are they important?

To thrive as an Artificial Intelligence Software Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with AI frameworks. Proficiency in programming languages like Python or Java, and familiarity with tools such as TensorFlow, PyTorch, and cloud platforms are typically required. Strong problem-solving skills, creativity, and effective communication help set top performers apart in this role. These competencies are crucial for designing innovative AI solutions, collaborating with teams, and ensuring successful deployment in real-world applications.

What does an Artificial Intelligence Software Engineer do?

An Artificial Intelligence Software Engineer designs, develops, and implements software systems that use AI techniques such as machine learning, deep learning, and natural language processing. They work with large datasets, build and train models, and integrate AI capabilities into applications to solve complex problems. Their responsibilities often include collaborating with data scientists, optimizing algorithms, and ensuring the scalability and efficiency of AI solutions.

What is the difference between Artificial Intelligence Software Engineer vs Data Scientist?

AspectArtificial Intelligence Software EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; programming skillsBachelor's or higher in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops AI models, algorithms, and software applicationsAnalyzes data, builds models, and interprets insights
Employer & Industry UsageTech companies, AI startups, research labsBusiness, finance, healthcare, tech sectors
Common Search & ComparisonFocuses on AI development and software engineeringFocuses on data analysis and statistical modeling

While both roles require programming skills and a background in data or AI, Artificial Intelligence Software Engineers primarily develop AI algorithms and software applications, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different core functions within tech and data-driven organizations.

How does an Artificial Intelligence Software Engineer typically collaborate with data scientists and product teams?

Artificial Intelligence Software Engineers frequently work alongside data scientists to translate complex models and algorithms into scalable, production-ready code. They also collaborate closely with product managers and UX teams to ensure AI solutions align with user needs and business objectives. Effective communication and a strong understanding of both software engineering and data science principles are essential, as these engineers often serve as a bridge between technical and non-technical stakeholders throughout the project lifecycle.
What cities in Florida are hiring for Artificial Intelligence Software Engineer jobs? Cities in Florida with the most Artificial Intelligence Software Engineer job openings:
Infographic showing various Artificial Intelligence Software Engineer job openings in Florida as of July 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $110,243 per year, or $53 per hour.

Artificial Intelligence (AI) Engineer III (2316)

Morson Talent

Melbourne, FL • Hybrid

$55 - $62/hr

Other

Posted 22 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.