About this role
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com (https://www.lenovo.com), and read about the latest news via our StoryHub (https://news.lenovo.com/).
Responsibilities
1. Assist in developing AI agents for operation using agent frameworks such as LangChain, LangGraph or DeepAgents, including prompt engineering, tool integration and RAG knowledge base setup.
2. Support the observability pipeline: collect metrics, logs and traces using Zabbix, Grafana, OpenTelemetry and Splunk; build dashboards and alerting rules.
3. Learn container orchestration (Docker, Kubernetes), CI/CD and infrastructure automation; write Python/Shell scripts to automate operational tasks.
4. Conduct prototype testing of agent workflows, document issues such as LLM hallucination, context overflow and task failure; suggest iterative improvements.
5. Prepare technical documentation, test cases and demo proof-of-concept for new AgenticOps use cases.
6. Research latest trends in AgenticOps, AIOps and multi-agent systems; present findings to the engineering team.
7. Collaborate with cross-functional teams to translate operation requirements into agent workflows.
Requirements
1. Bachelor’s or above degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or Information Technology.
2. Basic programming skill in Python, comfortable with Linux command line and Git version control.
3. Solid fundamental knowledge in computer networks, operating systems and databases.
4. Excellent English proficiency; fluent spoken Mandarin is highly preferred.