ShyftLabs
AI Engineer Intern
Toronto, Ontario · Intern · Internship
Sponsorship not specifiedDetected 20 hours ago
PythonBackend DevelopmentGitPostgreSQLRedisVector DatabasesAWSDockerKubernetesMachine LearningData ScienceNLPLLMsRAGAgentic AILangGraphAI OrchestrationResearch
About the role
- It provides agent orchestration, multi-model routing, persistent memory, tool integration, durable workflows, governance, guardrails, evaluation, and observability.
- You will work across agent orchestration, memory systems, model optimization, retrieval, tools, guardrails, evaluation, and application development.
- Hourly Pay Why You'll Love Working at ShyftLabs At ShyftLabs, your work matters.
Responsibilities
- Develop agentic applications for enterprise use cases using Continuum.
- Build persistent memory and state-management capabilities for long-running agent workflows.
- Develop tool-calling functionality and integrations with APIs, databases, and enterprise systems.
- Design context-engineering and retrieval pipelines using vector and graph databases.
- Implement AI guardrails for safety, security, access control, data privacy, and policy enforcement.
- Create evaluation pipelines to measure accuracy, groundedness, hallucination, tool usage, workflow completion, latency, and cost.
- Optimize prompts, model usage, token consumption, response time, and infrastructure costs.
- Build APIs, backend services, and user-facing prototypes for agentic applications.
- Experience building at least one LLM-powered or agentic application.
- Strong interest in building reliable AI systems, not just basic LLM demos
Requirements
- Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
- Familiarity with prompt engineering, embeddings, RAG, tool calling, and structured outputs.
- Experience working with APIs, Git, databases, and standard software engineering practices.
- Ability to research complex technical problems, experiment with different approaches, and clearly communicate results.
Nice to have
- Experience with agent frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI, or similar technologies.
- Familiarity with OpenAI, Anthropic, Gemini, AWS Bedrock, or open-source models.
- Experience with vector databases such as Milvus, Pinecone, Weaviate, or Chroma.
- Experience with graph databases such as Neo4j.
- Knowledge of PostgreSQL, Redis, Docker, Kubernetes, or cloud infrastructure.
- Familiarity with AI observability and evaluation tools such as Langfuse.
- Understanding of multi-tenancy, identity management, authorization, or enterprise security.
- Experience with model routing, inference optimization, prompt compression, or cost optimization.
Skills
- About ShyftLabs
- About Continuum
- What You'll Be Doing
- Build and improve agent orchestration and multi-agent workflows.
Benefits
- Good understanding of machine learning, natural language processing, and LLM fundamentals.
Company info
- What We Are Looking For
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This listing is sourced directly from ShyftLabs's careers page and normalized into a canonical job model.