[Hiring] AI Engineering Intern @Guidepoint

Role Description

We are seeking a curious, driven AI Engineering Intern to join our growing team in Toronto and Pune. You'll work alongside senior engineers on critical business projects involving large language models, multi-agent systems, intelligent data extraction, and predictive analytics. If you're excited about the intersection of AI and healthcare intelligence, this is your launchpad.

This role is fully remote; candidates must be able to overlap with US Eastern Time through 11:30 am ET (12:30 pm ET during US daylight saving time).

What You’ll Do:

• 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
• Contribute to internal knowledge sharing and technical discussions
• Experiment with emerging tools, frameworks, and model architectures

Qualifications

• Pursuing or recently completed BS/MS in AI, Computer Science, Mathematics, or related quantitative field preferably from IIT OR NIT
• 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
• LLM APIs: OpenAI API or Anthropic Claude or similar
• Python data work: Pandas, NumPy
• Python proficiency: NumPy, Pandas, scikit-learn
• Prompt engineering principles
• Strong written and verbal communication
• Self-motivated and able to work independently
• Comfortable in fast-paced, ambiguous environments
• Collaborative team player with intellectual curiosity

Requirements

• Experience with vector databases (Pinecone, Qdrant, Weaviate, ChromaDB)
• Knowledge of embedding models and semantic search
• Familiarity with AI orchestration frameworks (LangChain, LlamaIndex, CrewAI)
• Understanding of multi-agent systems and agentic AI patterns
• Experience with model evaluation and benchmarking
• Writing complex queries in SQL
• JavaScript or TypeScript
• Familiar with AWS
• Familiar with Docker

Benefits

• Competitive compensation
• Employee medical coverage
• Central office location
• Entrepreneurial environment, autonomy, and fast decisions
• Casual work environment