Software Engineer

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  "location": {
    "raw": "Gainesville, FL, Gainesville, Florida",
    "city": "Gainesville",
    "region": "FL",
    "country": "United States",
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{
  "id": "464115",
  "job": {
    "id": "473874",
    "division": {
      "id": "210",
      "name": "Advita Ortho"
    },
    "department": {
      "id": "11061",
      "name": "Information Technology"
    },
    "requisition_id": "EXAC0777",
    "structure_custom_group_one": null
  },
  "url": "https://advitaortho.pinpointhq.com/en/postings/bf9c23e4-45c3-467a-b955-e48a355e586a",
  "path": "/en/postings/bf9c23e4-45c3-467a-b955-e48a355e586a",
  "title": "Software Engineer",
  "benefits": "",
  "location": {
    "id": "5732",
    "city": "Gainesville",
    "name": "Gainesville, FL",
    "province": "Florida",
    "postal_code": "32653"
  },
  "deadline_at": null,
  "description": "<div><!--block-->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</div>",
  "compensation": null,
  "reporting_to": "Senior Director Software Engineering",
  "workplace_type": "onsite",
  "benefits_header": "",
  "employment_type": "permanent_full_time",
  "workplace_type_text": "Onsite",
  "compensation_maximum": null,
  "compensation_minimum": null,
  "compensation_visible": false,
  "employment_type_text": "Permanent - Full Time",
  "key_responsibilities": "<div><!--block--><strong>&nbsp;AI/ML Model Development &amp; Training</strong></div><ul><li><!--block-->Work with large volumes of complaint data to train and fine-tune LLM-based models for automated complaint detection, classification, and coding.&nbsp;</li><li><!--block-->Develop and iterate on models that generate intelligent suggestions for complaint resolution, root cause analysis, and corrective/preventive actions (CAPA).&nbsp;</li><li><!--block-->Prepare, clean, and structure training datasets from existing complaint records to optimize model performance.&nbsp;</li><li><!--block-->Evaluate model accuracy, precision, and recall using appropriate metrics; continuously improve model quality through iterative training cycles.&nbsp;</li><li><!--block-->Explore and implement retrieval-augmented generation (RAG) architectures and prompt engineering techniques to enhance model output relevance.&nbsp;</li></ul><div><!--block--><strong>System Integration &amp; API Development&nbsp;</strong></div><ul><li><!--block-->Develop and maintain RESTful APIs to serve model predictions and recommendations within existing workflows.&nbsp;</li><li><!--block-->Collaborate with the team to embed AI capabilities into enterprise applications, ensuring seamless user experiences.&nbsp;</li></ul><div><!--block--><strong>Web Application Development&nbsp;</strong></div><ul><li><!--block-->Contribute to front-end development using React and modern JavaScript/TypeScript frameworks.&nbsp;</li><li><!--block-->Support back-end development with Node.js, building services that connect AI capabilities to user-facing applications.&nbsp;</li><li><!--block-->Participate in code reviews, testing, and deployment processes following team standards.&nbsp;</li></ul><div><!--block--><strong>Collaboration &amp; Growth&nbsp;</strong></div><ul><li><!--block-->Work closely with the Senior Director of Software Engineering, or designee, to align AI initiatives with organizational strategy.&nbsp;</li><li><!--block-->Stay current with advancements in LLM architectures, fine-tuning methodologies, and AI tooling.&nbsp;</li><li><!--block-->Document models, training processes, and integration patterns for knowledge sharing and regulatory compliance.</li></ul>",
  "compensation_currency": null,
  "compensation_frequency": null,
  "skills_knowledge_expertise": "<div><!--block--><strong>Education:</strong></div><ul><li><!--block-->Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field</li></ul><div><!--block--><strong>&nbsp;Experience:</strong></div><ul><li><!--block-->Hands-on experience (academic or personal projects) with Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.&nbsp;</li><li><!--block-->Experience with cloud-based ML platforms (Azure ML, Google Vertex AI, or AWS SageMaker).</li><li><!--block-->Understanding of natural language processing (NLP) concepts including text classification, named entity recognition, and sentiment analysis.</li><li><!--block-->Exposure to vector databases (Pinecone, ChromaDB, Weaviate) and RAG pipeline architectures.</li><li><!--block-->Exposure to RESTful API design and integration patterns.</li><li><!--block-->Experience with Git version control and CI/CD workflows.</li></ul><div><!--block--><strong>Functional/Technical Knowledge, Skills and Abilities Required:</strong></div><ul><li><!--block-->Strong problem-solving skills with a willingness to learn and adapt quickly in a fast-paced environment.</li><li><!--block-->Solid understanding of LLM fundamentals including transformer architectures, tokenization, embeddings, attention mechanisms, and fine-tuning techniques.</li><li><!--block-->Familiarity with data preparation, feature engineering, and model evaluation methodologies.</li><li><!--block-->Working knowledge of React and Node.js for web application development.</li><li><!--block-->Strong problem-solving skills with a willingness to learn and adapt quickly in a fast-paced environment.</li><li><!--block-->Familiarity with fine-tuning approaches using models such as Google Gemini, OpenAI GPT, or similar foundation models</li><li><!--block-->Knowledge of medical device industry regulations (FDA, ISO 13485) or quality management systems is a plus.</li><li><!--block-->Familiarity with SQL and relational database concepts.</li></ul>",
  "key_responsibilities_header": "Key Responsibilities",
  "skills_knowledge_expertise_header": "Skills Knowledge and Expertise"
}