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Ai Software Developer Jobs in Florida (NOW HIRING)

Advantive

AI Software Developer

Tampa, FL · On-site

As a Mid-Level AI Software Developer, you will own and deliver production-ready AI features end-to-end. You will work across LLM integrations, retrieval-augmented generation (RAG) systems, and AI ...

Advantive

AI Software Developer

Tampa, FL · On-site

As a Mid-Level AI Software Developer, you will own and deliver production-ready AI features end-to-end. You will work across LLM integrations, retrieval-augmented generation (RAG) systems, and AI ...

AMPERA INC

AI Software Engineer

Palm Beach Gardens, FL · On-site +1

Position Overview AMPERA is seeking an experienced AI / Software Engineer to develop intelligent control, simulation, and data analytics systems for the company's next-generation micro-reactors. This ...

Omni Inclusive

AI Software Engineer

Boca Raton, FL · On-site

AI Software Engineers A strong interest and inquisitiveness about AI, Generative AI and OpenAI technologies. Experienced in primary programming languages such as Javascript (NodeJS), Java, Golang or ...

Boats Group

AI Software Engineer

Miami, FL · On-site +1

AI Software Engineer Miami (Hybrid) About our crew Boats Group is the leading digital marketplace ... Experience with modern DevOps practices, version control (Git), and CI/CD pipelines. * A curious ...

Boats Group

AI Software Engineer

Miami, FL · On-site

AI Software Engineer Miami (Hybrid) About our crew Boats Group is the leading digital marketplace ... Experience with modern DevOps practices, version control (Git), and CI/CD pipelines. * A curious ...

ChenMed, LLC

AI Software Engineer

Miami, FL · On-site

$91K - $130K/yr

... Software Engineer who thrives in ambiguity, works autonomously, and executes with purpose and speed. ESSENTIAL JOB DUTIES/RESPONSIBILITIES: * Experience in building and deploying AI application ...

ChenMed, LLC

Senior AI Software Engineer

Miami, FL · On-site

$108K - $154K/yr

We're looking for a Full Stack AI Software Engineer who thrives in ambiguity, works autonomously, and executes with purpose and speed. ESSENTIAL JOB DUTIES/RESPONSIBILITIES: * Proven experience in ...

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Ai Software Developer information

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$35.9K

$83.6K

$124K

How much do ai software developer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for ai software developer in Florida is $83,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $97,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Ai Software Developer position, and why are they important?

To thrive as an AI Software Developer, you need strong programming skills in languages such as Python or Java, a background in computer science or a related field, and a solid understanding of machine learning algorithms. Familiarity with frameworks like TensorFlow, PyTorch, and experience with data processing tools or cloud platforms is highly valued, while certifications in AI or machine learning can be advantageous. Creative problem-solving, collaboration, and effective communication are key soft skills that help you integrate complex solutions and work effectively within multidisciplinary teams. These competencies are crucial for developing, deploying, and maintaining innovative AI systems that deliver real-world value.

What is an AI Software Developer job?

An AI Software Developer designs, develops, and implements artificial intelligence solutions, such as machine learning models, neural networks, and automation tools. They work with algorithms, big data, and programming languages like Python to build intelligent applications. Their responsibilities include data preprocessing, model training, testing, and deploying AI systems for various industries.

What are some common challenges faced by AI Software Developers in day-to-day work?

AI Software Developers often encounter challenges such as ensuring data quality and quantity, tuning complex models for optimal performance, and integrating AI components seamlessly into existing software systems. Balancing the need for accuracy with computational efficiency while addressing issues of scalability and maintainability can also be demanding. Additionally, they must continuously stay updated with rapidly evolving AI technologies and best practices. Overcoming these challenges requires adaptability, a passion for continuous learning, and close collaboration with data scientists, product managers, and other engineers.

What are popular job titles related to Ai Software Developer jobs in Florida? For Ai Software Developer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Ai Software Developer jobs in Florida look for? The top searched job categories for Ai Software Developer jobs in Florida are:
Ai Software Developer jobs near you
Infographic showing various Ai Software Developer job openings in Florida as of June 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, 1% Temporary, and 1% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $83,581 per year, or $40.2 per hour.
AI Software Developer

AI Software Developer

Advantive

Tampa, FL • On-site

Other

Posted 23 days ago

Job description

We are building the next generation of intelligent enterprise software—platforms that think, adapt, and automate alongside the people who use them. Our AI & Business Intelligence team delivers conversational assistants, intelligent search, data-driven agents, predictive analytics, and workflow automation that transform how businesses operate.

As a Mid-Level AI Software Developer, you will own and deliver production-ready AI features end-to-end. You will work across LLM integrations, retrieval-augmented generation (RAG) systems, and AI-driven workflows, building reliable backend services and applications that directly impact enterprise customers.

This role is ideal for an experienced software engineer who has shipped AI-powered features in production and is ready to take full ownership of feature delivery, including performance, reliability, and cost efficiency. We are looking for candidates who are practical, collaborative, and comfortable making sound engineering trade-offs in real production environments.

Responsibilities:

  • Design and deliver AI-powered product features end-to-end, from requirements and solution design through implementation, testing, deployment, and post-release optimization.
  • Build and maintain retrieval-augmented generation (RAG) workflows that ground LLM responses in enterprise data, including application-side retrieval design, response grounding, and retrieval tuning.
  • Implement application and backend services that integrate large language models and AI services into enterprise products through well-designed APIs and service boundaries.
  • Develop AI-assisted workflows and agent-style automations that interact safely with enterprise data, product capabilities, and external systems.
  • Create and maintain automated tests, evaluation practices, monitoring, and operational runbooks for AI-enabled features so reliability is designed in from the start.
  • Analyze production behavior, user feedback, and telemetry to improve answer quality, latency, reliability, and cost efficiency. Make and communicate trade-offs between model quality, latency, and cost.
  • Collaborate with product, UX, data, QA, and platform teams to define use cases, acceptance criteria, evaluation methods, and rollout plans.
  • Contribute to engineering standards through code reviews, technical design discussions, and shared best practices focused on testing, observability, security, and performance.

What Success Looks Like

  • Owns AI-powered features end-to-end in production, from implementation through post-release improvement.
  • Uses telemetry, user feedback, and evidence to improve answer quality, latency, reliability, and cost efficiency.
  • Makes sound trade-offs between quality, latency, and cost, and can clearly explain those decisions to technical and non-technical stakeholders.
  • Delivers reliable, well-tested features with appropriate monitoring, evaluation, and operational readiness.
  • Collaborates effectively across engineering, product, UX, data, QA, and platform partners to ship high-quality releases.

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