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Internship Application Software Engineer Jobs in Gainesville, FL

Advita Ortho

Software Engineer

Gainesville, FL · On-site

Software Engineer Department: Information Technology Employment Type: Permanent - Full Time ... Web Application Development * Contribute to front-end development using React and modern JavaScript ...

Advita Ortho

Software Engineer

Gainesville, FL · On-site

Software Engineer The Software Engineer will leverage extensive complaint and quality data within ... Web Application Development * Contribute to front-end development using React and modern JavaScript ...

Advita Ortho

Software Engineer

Gainesville, FL · On-site

Software Engineer The Software Engineer will leverage extensive complaint and quality data within ... Web Application Development * Contribute to front-end development using React and modern JavaScript ...

Exactech

Software Engineer

Gainesville, FL · On-site

The Software Engineer will leverage extensive complaint and quality data within the complaint ... Web Application Development * Contribute to front-end development using React and modern JavaScript ...

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$12

$23

$35

How much do internship application software engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship application software engineer in Gainesville, FL is $23.03, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $26.15 per hour, depending on experience, location, and employer.

What is the difference between Internship Application Software Engineer vs Application Software Engineer?

AspectInternship Application Software EngineerApplication Software Engineer
Required CredentialsEnrolled in or recent graduate of a relevant degree (e.g., Computer Science)Bachelor's or higher in Computer Science or related field
Work EnvironmentInternship programs, entry-level projects, mentorshipFull-time employment, project development, team collaboration
Employer & Industry UsageTech companies, startups, internships for skill developmentTech firms, software companies, enterprise environments
Search & Comparison IntentUnderstanding internship roles, entry-level opportunitiesCareer progression, job responsibilities, full-time roles

The main difference is that an Internship Application Software Engineer is an entry-level, temporary position aimed at gaining experience, while an Application Software Engineer is a full-time role focused on developing and maintaining software products. Internships often serve as a stepping stone to full-time employment in software engineering.

What are popular job titles related to Internship Application Software Engineer jobs in Gainesville, FL? For Internship Application Software Engineer jobs in Gainesville, FL, the most frequently searched job titles are:
What job categories do people searching Internship Application Software Engineer jobs in Gainesville, FL look for? The top searched job categories for Internship Application Software Engineer jobs in Gainesville, FL are:
What cities near Gainesville, FL are hiring for Internship Application Software Engineer jobs? Cities near Gainesville, FL with the most Internship Application Software Engineer job openings:
Internship Application Software Engineer jobs near you

Software Engineer

Advita Ortho

Gainesville, FL • On-site

Full-time

Posted yesterday

Job description

Software Engineer
Department: Information Technology
Employment Type: Permanent - Full Time
Location: Gainesville, FL
Reporting To: Senior Director Software Engineering
Description
The Software Engineer will leverage extensive complaint and quality data within the complaint management system to train, fine-tune, and deploy AI models that enhance complaint detection, classification, coding accuracy, and resolution recommendations. This individual will contribute to a lean, high-impact engineering team by applying foundational knowledge of machine learning, large language models (LLMs), and modern web development to real-world use cases. The role is hands-on and execution-focused, providing direct exposure to senior leadership and meaningful project ownership
Key Responsibilities
AI/ML Model Development & Training
  • Work with large volumes of complaint data to train and fine-tune LLM-based models for automated complaint detection, classification, and coding.
  • Develop and iterate on models that generate intelligent suggestions for complaint resolution, root cause analysis, and corrective/preventive actions (CAPA).
  • Prepare, clean, and structure training datasets from existing complaint records to optimize model performance.
  • Evaluate model accuracy, precision, and recall using appropriate metrics; continuously improve model quality through iterative training cycles.
  • Explore and implement retrieval-augmented generation (RAG) architectures and prompt engineering techniques to enhance model output relevance.

System Integration & API Development
  • Develop and maintain RESTful APIs to serve model predictions and recommendations within existing workflows.
  • Collaborate with the team to embed AI capabilities into enterprise applications, ensuring seamless user experiences.

Web Application Development
  • Contribute to front-end development using React and modern JavaScript/TypeScript frameworks.
  • Support back-end development with Node.js, building services that connect AI capabilities to user-facing applications.
  • Participate in code reviews, testing, and deployment processes following team standards.

Collaboration & Growth
  • Work closely with the Senior Director of Software Engineering, or designee, to align AI initiatives with organizational strategy.
  • Stay current with advancements in LLM architectures, fine-tuning methodologies, and AI tooling.
  • Document models, training processes, and integration patterns for knowledge sharing and regulatory compliance.

Skills Knowledge and Expertise
Education:
  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field

Experience:
  • Hands-on experience (academic or personal projects) with Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
  • Experience with cloud-based ML platforms (Azure ML, Google Vertex AI, or AWS SageMaker).
  • Understanding of natural language processing (NLP) concepts including text classification, named entity recognition, and sentiment analysis.
  • Exposure to vector databases (Pinecone, ChromaDB, Weaviate) and RAG pipeline architectures.
  • Exposure to RESTful API design and integration patterns.
  • Experience with Git version control and CI/CD workflows.

Functional/Technical Knowledge, Skills and Abilities Required:
  • Strong problem-solving skills with a willingness to learn and adapt quickly in a fast-paced environment.
  • Solid understanding of LLM fundamentals including transformer architectures, tokenization, embeddings, attention mechanisms, and fine-tuning techniques.
  • Familiarity with data preparation, feature engineering, and model evaluation methodologies.
  • Working knowledge of React and Node.js for web application development.
  • Strong problem-solving skills with a willingness to learn and adapt quickly in a fast-paced environment.
  • Familiarity with fine-tuning approaches using models such as Google Gemini, OpenAI GPT, or similar foundation models
  • Knowledge of medical device industry regulations (FDA, ISO 13485) or quality management systems is a plus.
  • Familiarity with SQL and relational database concepts.

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