Senior AI Engineer

Lenovo; Petaling Jaya; On-site; MYR 120,000 - 180,000; Full time

Job summary

Lenovo is seeking an AI Applications Engineer to design and deploy industry-specific AI solutions using open-source and commercial large language models. You will perform prompt engineering, few-shot/zero-shot inference, and LoRA fine-tuning, and build enterprise intelligent agents with LangChain, LlamaIndex, AutoGen, and Dify.

You will collaborate with frontend, product and business teams to deliver standardized technical solutions, user docs, and maintenance manuals, while driving POC

Qualifications

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Big Data, Automation or related majors.
• Proficient in Python and mainstream data processing tools such as Pandas and NumPy.
• 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.
• More than 3 years of AI-related working experience with mature experience in large model application development and online project delivery.
• 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.
• Familiar with mainstream big data ecosystem components, proficient in offline and real-time data development using Hadoop, Spark, Flink, Kafka and other tools.
• 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.
• Familiar with EDW enterprise data warehouse and big data platform architecture, with practical capabilities to connect AI applications with enterprise big data systems.
• Proficient in English reading and writing; fluent in Chinese is preferred.

Responsibilities

• Deploy industry-specific AI applications based on open-source and commercial large language models, and implement technical solutions including prompt engineering, few-shot/zero-shot inference, and LoRA fine-tuning.
• 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.
• Build intelligent assistants for enterprise office automation and business process processing.
• 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.
• 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.
• Collaborate with front-end, product and business teams to drive project implementation and deliver standardized technical solutions, user documents and operation & maintenance manuals.
• Keep track of cutting-edge AI application technologies and investigate and evaluate the implementation cost and business value of open-source models, tools, plugins and Agent frameworks.
• Accumulate reusable AI components and intelligent agent template libraries

Skills

Python

Pandas

NumPy

SQL

Hadoop

Spark

Flink

Kafka

English reading/writing

Chinese (preferred)

Education

Bachelor's degree or above

Tools

LangChain

LlamaIndex

AutoGen

Dify

Hive

Spark SQL

Flink

Kafka

Job description

Deploy industry-specific AI applications based on open-source and commercial large language models, and implement technical solutions including prompt engineering, few-shot/zero-shot inference, and LoRA fine-tuning. Build and deploy enterprise intelligent Agents based on mainstream frameworks such as LangChain, LlamaIndex, AutoGen, and Dify. 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.

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

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

Build intelligent assistants for enterprise office automation and business process processing

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

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

Collaborate with front-end, product and business teams to drive project implementation and deliver standardized technical solutions, user documents and operation & maintenance manuals

Keep track of cutting-edge AI application technologies and investigate and evaluate the implementation cost and business value of open-source models, tools, plugins and Agent frameworks

Accumulate reusable AI components and intelligent agent template libraries

About you

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

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

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

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

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

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

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

Familiar with EDW enterprise data warehouse and big data platform architecture, with practical capabilities to connect AI applications with enterprise big data systems

Proficient in English reading and writing; fluent in Chinese is preferred

Lenovo is a US$34 billion personal technology company, the second largest PC maker worldwide and an emerging PC Plus leader.

Serving customers in more than 160 countries, Lenovo's business is built on product innovation, a highly-efficient global supply chain and strong strategic execution. Its product lines include a full range of commercial and consumer PCs, servers and workstations, and a family of mobile internet devices including smartphones and tablets.

The "Protect and Attack" strategy is a key of Lenovo's success, and the right strategy for a PC Plus world. It is driving record market share, improved profitability and a more balanced business for Lenovo.