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AI Developer (HealthCare Experience)

Job Overview

Location

Remote

Job Type

Full-time

Category

Software Engineering

Date Posted

June 18, 2026

Full Job Description

đź“‹ Description

  • • Design and implement AI models and algorithms tailored to diverse business challenges within the healthcare domain
  • • Define and lead the architecture of Generative AI platforms including large language models (LLMs), vector databases, and inference pipelines
  • • Maintain deep expertise in modern generative AI technologies such as Knowledge Graphs, OpenAI, LLaMA, Python, LangChain, vectorization, embeddings, semantic search, Retrieval-Augmented Generation (RAG), Infrastructure as Code (IaC), and Streamlit
  • • Rapidly prototype proof-of-concept solutions to assess emerging AI technologies and innovative ideas
  • • Foster innovation and collaboration in a fast-paced environment through a hands-on, imaginative approach and a self-driven, inquisitive mindset
  • • Leverage AI-assisted development tools including GitHub Copilot and internally developed solutions to enhance productivity
  • • Apply creative problem-solving techniques to identify and implement process improvements
  • • Assess technical risks and develop effective mitigation strategies to ensure successful project delivery
  • • Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into production-ready systems
  • • Partner with leadership to evaluate existing services and develop strategies to optimize delivery and support
  • • Perform data preprocessing and analysis on large datasets to uncover actionable insights
  • • Train, validate, and fine-tune machine learning and deep learning models for optimal performance
  • • Deploy models using cloud infrastructure and containerization technologies such as Docker and Kubernetes
  • • Implement and manage MLOps pipelines to automate model training, deployment, monitoring, and lifecycle management
  • • Apply AIOps practices to enhance operational efficiency, automate incident detection, and optimize system performance using AI-driven insights
  • • Continuously monitor model performance and retrain models as needed to maintain accuracy and relevance
  • • Stay current with industry trends, tools, and frameworks, and assess their applicability to organizational goals
  • • Document workflows, models, and codebases to support maintainability and knowledge sharing
  • • Provide timely and transparent progress updates to stakeholders, highlighting key milestones, challenges, and proposed solutions
  • • Work with healthcare-specific systems and data sources such as Facets and GuidingCare
  • • Utilize traditional AI/ML/data science skillsets including predictive, prescriptive, descriptive, statistical, optimization, simulation, natural language processing, computer vision, and image processing
  • • Operate within Agile methodologies to deliver iterative and high-quality AI solutions
  • • Ensure adherence to model interpretability and ethical AI practices in all development activities
  • • Support cross-functional teams with technical guidance on AI capabilities and deployment best practices
  • • Contribute to the evaluation and adoption of new AI tools and frameworks aligned with organizational objectives
  • • Participate in peer reviews, code audits, and technical discussions to uphold engineering standards
  • • Engage in continuous learning to maintain proficiency in rapidly evolving AI and cloud technologies
  • • Perform any other job duties as requested

🎯 Requirements

  • • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence or related field, or equivalent years of relevant work experience
  • • Minimum of five (5) years of experience in developing and deploying AI/ML models
  • • Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools
  • • Experience with Agile methodologies
  • • Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, and OpenCV
  • • Strong understanding of data structures, algorithms, and software engineering principles

🏖️ Benefits

  • • Salary range of $94,100.00 - $164,800.00
  • • Bonus opportunity tied to company and individual performance
  • • Comprehensive total rewards package including well-being investments
  • • Remote work arrangement
  • • Opportunity to work with healthcare-specific systems such as Facets and GuidingCare
  • • Access to AI-assisted development tools like GitHub Copilot

Skills & Technologies

Python
AWS
Azure
GCP
Docker
Remote
Degree Required

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About CareSource Management Group Company

CareSource is a nonprofit, multi-state managed care organization headquartered in Dayton, Ohio. Founded in 1989, it administers Medicaid, Medicare Advantage, and Marketplace health plans serving over two million members in Ohio, Kentucky, Indiana, West Virginia, and Georgia. The company focuses on improving health outcomes for low-income and vulnerable populations through integrated care management, behavioral health services, and social determinants programs.

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