ProFound Therapeutics: AI/ML Engineering - SAGE Platform Co-Op

What you'll do

• Build and deploy agent tools, data integrations, document ingestion, and retrieval-augmented generation features.
• Develop SAGE chat collaboration features, evaluation and benchmarking pipelines, and automated quality checks.
• Monitor usage, performance, reliability, and LLM costs; write and document tested code and present results.

What they ask for

• Currently pursuing a B.S. or M.S. in Computer Science, Artificial Intelligence, Data Science, or a related field, and available for a full-time, 4–6 month co-op term.
• Strong Python skills.
• Hands-on LLM-building experience through coursework, projects, or prior internships (e.g., LLM APIs, RAG, agents, or MCP).
• Familiarity with Git and software engineering best practices, including testing, code review, and documentation.

Nice to have

• Experience with web or backend development, LLM evaluation or observability tools, knowledge graphs, vector databases, or scientific and biological data sources.
• Familiarity with cloud environments, containers, and CI/CD tooling; prior software or ML engineering internship or co-op experience; interest in biology or drug discovery.

Pay

$25 - $35 per hour (base pay)

Tools

Python, LLM APIs, RAG, MCP, FastAPI, React, TypeScript, Git

AI focus

Extend and operate a production multi-agent LLM platform for scientific research, including agent tools and integrations, retrieval over biological knowledge sources, answer-quality and hallucination evaluation, and monitoring.