AI Engineering Intern

📋 Description

• Develop machine learning models for healthcare data analysis
• Build and optimize RAG pipelines using vector databases
• Implement intelligent document processing systems for unstructured data
• Develop prompt engineering strategies for domain-specific LLM applications
• Build AI-powered data extraction systems using web scraping and API integration
• Implement semantic search and intelligent querying capabilities
• Develop agent-based architectures for complex analytical workflows
• Participate in code reviews, testing, and documentation
• Prototype new approaches for healthcare data intelligence

🎯 Requirements

• Pursuing or recently completed BS/MS in AI, CS, Mathematics, or related field
• AI/ML fundamentals, solid grounding
• Neural networks, deep learning basics
• Fine-tuning, RAG, chain-of-thought concepts
• NLP basics: tokenization, embeddings, transformers
• ML frameworks: PyTorch or TensorFlow or Keras

🎁 Benefits

• Competitive compensation
• Employee medical coverage
• Central office location
• Entrepreneurial environment with autonomy and fast decisions
• Casual work environment
• Mentorship — Regular 1:1s with senior engineers and data scientists