Huawei Technologies Canada Co., Ltd.

Intern Engineer - AI Agent for Data

Markham, Ontario, Canada · Intern · Internship

Sponsorship not specified$58k-$104kDetected 26 days ago

PythonRustElasticsearchVector DatabasesCloud PlatformsLLMsRAGAgentic AILangGraphResearch

About the role

This lab addresses various data challenges, including cloud-native disaggregated databases, pay-by-query user models, and optimizing low-level data transfers via RDMA.

Develop retrieval and grounding systems that connect AI agents to authoritative business knowledge.
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.

Strong understanding of LLMs, retrieval systems, agent memory, orchestration, and tool use.
Experience with vector databases, semantic search, knowledge graphs, embeddings, or metadata systems.
Familiarity with databases, APIs, cloud platforms, and distributed systems.
Experience with LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, MCP, or similar frameworks.
Experience with Neo4j, Elasticsearch/OpenSearch, Milvus, Weaviate, Pinecone, pgvector, or equivalent technologies.

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process.
Integrate with enterprise platforms, MCP-compatible tools, and multiple LLM providers.
Strong software engineering skills in Rust or Python, and backend system development.

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.

The Distributed Data Storage and Management Lab leads research in distributed data systems, aiming to develop next-generation cloud serverless products that encompass core infrastructure and databases.
Teams within this lab create advanced cloud serverless data infrastructure and implement cutting-edge networking technologies for Huawei's global AI infrastructure.
About the job: Build enterprise data foundations using knowledge graphs, metadata systems, vector databases, and enterprise data sources.
Design and implement AI agents that interact with databases, APIs, documents, and enterprise tools.
The total target annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate: Experience building AI agents, multi-agent systems, RAG pipelines, or workflow-based AI applications.
Experience building enterprise AI platforms, agentic workflow systems, or AI infrastructure products.

If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

This listing is sourced directly from Huawei Technologies Canada Co., Ltd.'s careers page and normalized into a canonical job model.