AI Engineering Intern

Overview

Guidepoint’s Qsight group is a new, high-growth division focused on building market-leading data intelligence solutions for the healthcare industry. Operating like a start-up within a larger high-growth company, Qsight works with proprietary data to generate actionable insights for the world’s leading institutional investors and medical device and pharmaceutical companies. The Qsight team is passionate about creating market intelligence products through rigorous analysis of alternative data to deliver highly relevant, accurate insights to a global client base.

We are seeking 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 hybrid in Pune (with the option to be 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

Required Technical Qualifications:

• Pursuing or recently completed BS/MS in AI, Computer Science, Mathematics, or related quantitative 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

• 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

Preferred Qualifications:

• 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

What You'll Learn & Gain

Technical Growth

• Working with a variety of architecture patterns

• Production experience

• Performance optimization

Professional Development

• Mentorship — Regular 1:1s with senior engineers and data scientists

• Code Reviews — Learn best practices through real feedback

• Exposure — Present your work to leadership and stakeholders

Cross-Functional Collaboration — Work with product, data, and business teams

What We Offer:

• Competitive compensation

• Employee medical coverage

• Central office location

• Entrepreneurial environment, autonomy, and fast decisions

• Casual work environment

About Guidepoint

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience.

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