CareSource is seeking to design and rapidly deploy lightweight applications and user interfaces to operationalize advanced AI solutions, including generative AI (LLM-based), agentic AI, and NLP-driven capabilities across the enterprise.
Requirements
- Strong proficiency in Python and SQL to support AI integration, backend logic, and automation; ability to extend low-code solutions with code when necessary
- Proficiency with low-code/no-code platforms, such as Databricks Apps, Microsoft Power Apps/Copilot Studio or similar low-code technologies
- Familiarity with Python UI frameworks, such as Streamlit, Flask, FastAPI, or Django, for custom enhancements when required
- Understanding of advanced AI technologies, including: Generative AI (LLM-based), Agentic AI and orchestration frameworks, and Natural Language Processing (NLP)
- Knowledge of UI/UX best practices and accessibility standards
- Familiarity with SDLC, CI/CD pipelines, and configuration management
- Expertise in application troubleshooting and optimization
Responsibilities
- Design, configure, test, and deploy AI-enablement applications using low-code/no-code platforms.
- Develop intuitive user interfaces that expose AI capabilities—including generative, agentic, and NLP-based intelligence—to business and operational teams.
- Translate model outputs into business workflows, integrating with existing platforms and use cases.
- Collaborate with data engineers and data scientists to transition solutions from analytical environments (e.g., Databricks) into production.
- Develop Python and SQL logic to support automation, orchestration, and system integration where low-code tools are insufficient.
- Conduct application performance testing and troubleshooting efforts to enhance reliability.
- Ensure application solutions meet usability, accessibility, compliance, and performance standards.
Other
- Bachelor's Computer Science, Software Engineering required
- Five (5) years application development experience using OOP concepts or platform-based development required
- Two (2) years deploying applications using cloud services (Azure, AWS, or GCP) and modern data platforms (e.g., Databricks or Snowflake) required
- Up to 15% (occasional) travel to attend meetings, trainings, and conferences may be required
- Strong analytical, communication, and problem-solving abilities
