AI Specialist Intern – AI Integration Developer

Position Overview: We are hiring a highly motivated AI Integration Developer Intern for a 4-month internship, with the potential for full-time employment. This role will involve integrating AI modules into our Patient Support Tool to help with tasks such as insurance form automation, data extraction, and conflict detection (e.g. if a doctor orders medications that a patient is allergic to). You will play a pivotal role in building scalable and secure AI systems that interface seamlessly with other platform components. Key Responsibilities: 1. AI Module Integration: Integrate Speech-to-Text capabilities for recording and transcribing doctor’s orders using APIs like Google Cloud Speech-to-Text, OpenAI Whisper or Azure Cognitive Services Deploy OCR functionalities to digitize brochures and handouts, leveraging libraries like Tesseract or Google Vision API or OpenAI API Build APIs to connect AI modules with the platform’s backend, ensuring efficient and secure data transfer Develop pipelines to automate: Conflict detection by comparing patient records with new medical orders (e.g., drug interactions, allergy checks) Insurance form auto-completion, using predefined templates and extracted patient/doctor data 3. Backend Development: Design scalable backend services for handling data processing, storage, and retrieval of AI-generated insights Implement robust APIs for inter-component communication, ensuring alignment with security and compliance standards Use containerization tools (e.g., Docker) to deploy AI modules in a cloud-native architecture 4. Compliance and Security: Ensure all data pipelines adhere to healthcare regulations like HIPAA and GDPR Implement data encryption (in transit and at rest) and role-based access controls to safeguard sensitive information 5. Testing and Debugging: Write unit tests for AI modules and integration tests for end-to-end workflows Set up tools to monitor performance under high-load conditions, identify bottlenecks, and optimize data pipelines 6. Collaboration: Partner with the NLP AI Developer to ensure smooth integration of AI functionalities like summarization and chatbot responses Work closely with the DevOps team to automate deployment workflows using CI/CD pipelines 7. Documentation and Reporting: Maintain clear and detailed documentation for data automation workflows, APIs, and integration points Generate analytics reports on the performance and usage of automated features for stakeholders Required Technical Skills: Experience with AI tools for Speech-to-Text and OCR (e.g., Google Vision API, Azure Speech Services, OpenAI API) Proficiency in backend development using Python or Node.js Familiarity with RESTful APIs and data exchange formats like JSON, XML, and HL7 FHIR Strong understanding of database technologies (e.g., PostgreSQL, MongoDB) Knowledge of containerization (e.g., Docker) and cloud platforms (AWS, GCP, Azure) Preferred Technical Skills: Experience with EHR systems and healthcare interoperability standards Familiarity with AI-driven conflict detection systems and rules engines (e.g., Drools) Understanding of CI/CD pipelines and DevOps workflows Soft Skills: Detail-oriented with a focus on building scalable, maintainable systems Ability to work collaboratively across teams and adapt to shifting priorities Strong problem-solving skills and a proactive approach to addressing challenges Common Internship Details: Qualifications: Current enrollment in or recent graduation from a Bachelor’s or Master’s program in Computer Science, Artificial Intelligence, or related field At least 1-2 years of academic or practical experience in AI/ML development Internship Benefits: Hands-on experience solving real-world challenges in healthcare technology Mentorship from senior engineers and AI specialists Opportunity to transition into a full-time role after successful completion of the internship Location and Work Environment: Hybrid working environment Flexible hours with daily stand-ups and weekly progress reviews