AI Engineer Intern– Generative AI & Intelligent Document Systems

We are looking for an AI Engineer who brings together strong technical foundations in Machine Learning, Generative AI, and Document Intelligence. You will work on AI systems that process healthcare-related documents, extract key insights, and generate human-like responses and reports. This is a high-impact role that directly supports Altibbe’s mission to transform healthcare data into meaningful intelligence. Key Responsibilities: Develop and fine-tune LLMs and summarization models for healthcare documentation and product transparency reports. Build automated document pipelines (PDF, DOCX, OCR) for extracting and transforming structured/unstructured health data. Create domain-specific question generators, keyword extractors, and summary systems using advanced NLP techniques. Integrate AI models into scalable web applications using Streamlit, Flask, or React. Implement secure user authentication and API protection for production apps. Collaborate with internal teams to define product requirements and AI model capabilities. Continuously optimize model performance, inference speed, and cost using techniques like quantization, LoRA, and bitsandbytes. Required Skills & Experience: Proficiency in Python, with strong experience in Pandas, PyTorch, and HuggingFace Transformers. Deep understanding of Generative AI, prompt engineering, and LLM fine-tuning. Hands-on with OCR, text summarization, keyword extraction, and document parsing. Experience deploying full-stack ML apps using Streamlit, Flask, or React + MongoDB. Knowledge of secure backend development and production-level authentication practices. Comfortable with version control (Git) and collaborative development. Preferred Qualifications: Experience in healthcare or pharma-tech AI solutions. Prior hackathon achievements and open-source contributions. What We Offer: Opportunity to impact healthcare AI in a meaningful way Collaborative team and mentorship from AI researchers and product leads Pathway to a permanent role based on performance