Sr. AI Application Engineer

Lenovo; Petaling Jaya; On-site; MYR 134,000 - 223,000; Full time

Job summary

Lenovo in Selangor, Malaysia is recruiting for an AI/ML Engineer to design and deploy AI applications using open-source and enterprise large language models. You will implement prompt engineering, RAG systems, and autonomous agents within business workflows.

The role requires 3+ years in AI-related work, strong Python/SQL skills, and experience with data warehouses like Hive/Spark/Flink. English proficiency is essential; Chinese is a plus.

Qualifications

• Bachelor’s degree or higher in Computer Science, AI, Big Data, Automation or related fields.
• Proficiency in Python and data processing tools like Pandas/NumPy.
• Experience delivering AI applications and large model projects.
• Strong SQL skills and data warehouse concepts (Hive, Spark SQL, Flink SQL).
• Familiarity with big data ecosystems and real-time data processing.
• English reading/writing; Chinese preferred for cross-team collaboration.

Responsibilities

• Deploy industry-specific AI apps using large language models and prompt engineering.
• Build and deploy enterprise agents with LangChain, LlamaIndex, AutoGen, Dify.
• Analyze business requirements and conduct POCs, prototyping and deployment.
• Optimize application UX and fix production issues (latency, accuracy, context).
• Collaborate with frontend, product and business teams for technical solutions and docs.
• Evaluate open-source models/tools and develop reusable AI components.

Skills

Python

Pandas

NumPy

SQL

Education

Bachelor’s degree or higher in CS/AI/Big Data/Automation

Tools

Hive

Spark SQL

Flink SQL

Job description

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 , and read about the latest news via our StoryHub .

Description and Requirements

Job Responsibilities

1. Deploy industry-specific AI applications based on open-source and commercial large language models (GPT, Tongyi Qwen, Llama, Qwen, etc.), and implement technical solutions including prompt engineering, few-shot/zero-shot inference, and LoRA fine-tuning.

2.Build and deploy enterprise intelligent Agents based on mainstream frameworks such as LangChain, LlamaIndex, AutoGen, and Dify. Realize agent task decomposition, autonomous planning, multi-tool invocation, multi-agent collaboration, and workflow orchestration, and build intelligent assistants for enterprise office automation and business process processing.

3.Communicate and analyze business requirements, independently design AI application solutions, and complete requirement research, POC verification, prototype development, functional iteration, and online deployment and delivery.

4.Continuously optimize application experience, and resolve online production issues including model hallucinations, low answer accuracy, high response latency, excessive context length, concurrent stuttering, and abnormal Agent task execution.

5.Collaborate with front-end, product and business teams to drive project implementation, deliver standardized technical solutions, user documents and operation & maintenance manuals, and build lightweight AI backend management systems.

6.Keep track of cutting-edge AI application technologies, investigate and evaluate the implementation cost and business value of open-source models, tools, plugins and Agent frameworks, and accumulate reusable AI components and intelligent agent template libraries.

Job Requirements

1.Bachelor’s degree or above in Computer Science, Artificial Intelligence, Big Data, Automation or related majors.

2.Proficient in Python and mainstream data processing tools such as Pandas and NumPy.

3.Master the full workflow of large model application development, with hands-on experience in the development and deployment of RAG systems, intelligent chatbots, document Q&A systems and enterprise Agents.

4.Possess more than 3 years of AI-related working experience with mature experience in large model application development and online project delivery.

5.Proficient in SQL, skilled in data warehouse development technologies including Hive, Spark SQL and Flink SQL, with the ability of complex indicator modeling and SQL performance tuning.

6.Familiar with mainstream big data ecosystem components, proficient in offline and real-time data development using Hadoop, Spark, Flink, Kafka and other tools.

7.Master the complete data warehouse construction system, proficient in layered modeling, dimensional modeling and indicator system design, and familiar with EDW enterprise data warehouse architecture.

8.Familiar with EDW enterprise data warehouse and big data platform architecture, with practical capabilities to connect AI applications with enterprise big data systems and empower business through data. 9.Proficient in English reading and writing; fluent in Chinese is preferred to support efficient cross-team business communication and project collaboration.

If you require an accommodation to complete this application, please contact [e-mail]