3 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
Categories
About ShyftLabs
ShyftLabs builds and runs enterprise data and AI platforms, combining data engineering, analytics, and responsible AI controls with consulting and managed delivery. It designs governed data infrastructure, customer and retail analytics, and omnichannel marketing data products for large organizations. Founded in 2018 and headquartered in Toronto, the privately held firm serves global clients and staffs teams across Toronto, New York, Dubai, and New Delhi.