Huawei Canada has an immediate internship opening for an Engineer.
About the team:
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. This lab addresses various data challenges, including cloud-native disaggregated databases, pay-by-query user models, and optimizing low-level data transfers via RDMA. 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.
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.
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.
Strong understanding of LLMs, retrieval systems, agent memory, orchestration, and tool use.
Experience with vector databases, semantic search, knowledge graphs, embeddings, or metadata systems.
Strong software engineering skills in Rust or Python, and backend system development.
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.
Experience building enterprise AI platforms, agentic workflow systems, or AI infrastructure products.
Additional Information:
Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. 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.
All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.
Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.
Huawei's end-to-end portfolio of products, solutions and services are both competitive and secure. Through open collaboration with ecosystem partners, we create lasting value for our customers, working to empower people, enrich home life, and inspire innovation in organizations of all shapes and sizes.
At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 207,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company fully owned by its employees.
House Rules
This page is for ICT professionals with an interest in Huawei and our industry to engage in open discussions.
To facilitate dialogue, please follow these rules:
- Huawei holds the right to delete comments that are offensive, misleading, false, unlawful, off-topic and in violation of any regulations.
- Repeated violations of any of the above will be removed and users may be blocked.
- Huawei does not necessarily endorse the information shared by members.
- Please be familiar with and follow LinkedIn's User Agreement.
- By publicly uploading a photograph or comment, you give Huawei permission to feature your content. This will always be credited.
Please visit the below portals for career or customer service queries.
Career page: http://bit.ly/2rdljD7
Customer service: http://bit.ly/2a4mXNY
Thank you for visiting us & we hope you enjoy your time on our page.
