2 months ago
Toronto, CanadaIntern
Responsibilities
- Build and improve agent orchestration and multi-agent workflows.
- Develop enterprise agentic applications using Continuum and commercial or open-source models.
- Improve model routing, persistent memory, state management, tool calling, API integrations, and retrieval pipelines.
- Implement AI guardrails, evaluation pipelines, observability, and traceability for agent workflows.
- Optimize prompts, model usage, token consumption, response time, and infrastructure costs.
- Build APIs, backend services, and user-facing prototypes using clean, reusable, well-tested, documented Python code.
- Contribute to Continuum’s open-source codebase, examples, documentation, and developer experience.
Requirements
- Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
- Strong programming skills in Python.
- Understanding of machine learning, natural language processing, and LLM fundamentals.
- Experience building at least one LLM-powered or agentic application.
- Familiarity with prompt engineering, embeddings, RAG, tool calling, and structured outputs.
- Experience with APIs, Git, databases, and standard software engineering practices.
- Ability to research complex technical problems, experiment with approaches, and communicate results clearly.
Benefits
- Hourly pay of $20-$30 CAD per hour.
Tech Stack
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