Full Stack Developer Intern
- Develop and enhance full-stack web applications supporting Data Teams.
- Integrate AI/ML models and generative AI services into applications via secure APIs.
- Collaborate with Data Science teams to operationalize models for inference and experimentation.
- Build and consume RESTful APIs and backend services in accordance with enterprise standards.
- Participate in testing, debugging, documentation, and performance optimization.
- Support cloud-based deployment, monitoring, and logging activities.
- Ensure solutions align with HIPAA awareness, data privacy, and security best practices.
- Delivering AI‑enabled applications in a healthcare insurance enterprise environment.
- Responsible and ethical AI development practices.
- Cross‑functional collaboration with analytics, engineering, and business teams.
- Working with real-world member and provider digital use cases.
- Professional development in communication, planning, and delivery.
- Motivated, proactive self-starter comfortable learning new tasks and working with team guidance.
- Ability to manage multiple assignments and meet deadlines in a fast-paced environment.
- Strong problem-solving and organizational skills with attention to detail.
- Team-oriented mindset with an interest in understanding how individual tasks contribute to broader business goals.
- Clear Verbal and written communication skills
- Interest in integrating analytics, machine learning, or generative AI capabilities into applications
- Awareness of data privacy and secure development practices in regulated environments (HIPAA awareness)
- Exposure to any of the following:
- Frontend: HTML, CSS, JavaScript, React (or similar frameworks)
- Backend: Python and/or Node.js
- APIs: REST, JSON, microservices concepts
- AI: Model inference, prompt-based systems, generative AI APIs
- Data: SQL or NoSQL databases
- Cloud: GCP, Exposure to enterprise cloud platforms and CI/CD concepts
- Enrollment in an undergraduate or graduate program in Computer Science, Software Engineering, AI, or a related field.
- Coursework or project experience with programming (Python, JavaScript).
- Exposure to AI/ML frameworks or cloud AI services.
- Interest in healthcare, insurance, or data-driven platforms.
- Ability to sit and perform extensive keyboard and PC work, including data entry
- Ability to walk, talk, or hear
- Occasionally required to stand and reach with hands and arms
- Ability to meet deadlines and attendance standards.
- The noise level in the work environment is usually moderate.
- This classification will be required to sign a confidentiality agreement.
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