Intern AI Engineer: RAG, Agents & Knowledge Graphs

huaweicanada; Ottawa; On-site; CAD 58,000 - 104,000; Full time

Job summary

Huawei Canada invites an engineering intern to join the Distributed Data Storage and Management Lab. You will help build enterprise data foundations with knowledge graphs, vector databases, and metadata systems, enabling AI agents to access authoritative knowledge.

You will design and implement AI agents that connect to databases, APIs, documents, and enterprise tools, and contribute to RAG workflows, memory management, and governance controls across platforms.

Qualifications

• Experience building AI agents or multi-agent workflows.
• Strong knowledge of LLMs and retrieval systems.
• Experience with vector databases and knowledge graphs.
• Proficient in Rust or Python and backend software development.
• Familiar with cloud platforms and distributed systems.
• Experience with agentic workflow frameworks.

Responsibilities

• Build enterprise data foundations using knowledge graphs, metadata systems, vector databases, and enterprise data sources.
• Develop retrieval and grounding systems that connect AI agents to authoritative business knowledge.
• Design and implement AI agents that interact with databases, APIs, documents, and enterprise tools.
• Build RAG and agent workflows for retrieval, reasoning, validation, and tool execution.
• Develop persistent memory and state management for long-running, multi-step agent workflows.
• Support auditability, traceability, workflow recovery, and cross-session continuity.
• Implement governance-aware controls for data access, tool invocation, and agent actions.
• Integrate with enterprise platforms, MCP-compatible tools, and multiple LLM providers.

Skills

AI agents

Multi-agent systems

RAG pipelines

LLMs & retrieval

Rust or Python

Backend systems

Knowledge graphs

Vector databases

Tools

LangGraph

AutoGen

CrewAI

OpenAI Agents SDK

MCP

Neo4j

Elasticsearch/OpenSearch

Milvus

Weaviate

Pinecone

pgvector

Job description

Huawei Canada invites an engineering intern to join the Distributed Data Storage and Management Lab. You will help build enterprise data foundations with knowledge graphs, vector databases, and metadata systems, enabling AI agents to access authoritative knowledge.

You will design and implement AI agents that connect to databases, APIs, documents, and enterprise tools, and contribute to RAG workflows, memory management, and governance controls across platforms.