AI Application Engineer

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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.

Role Brief

Are you excited about the future of Artificial Intelligence and its ability to transform the way businesses operate? We are looking for an AI Developer who is passionate about building intelligent solutions that improve finance operations, automate business processes, and unlock insights through data.

In this role, you will work at the intersection of Generative AI, Large Language Models (LLMs), Machine Learning, Data Analytics, and Enterprise Applications to create innovative solutions that enhance productivity and decision-making. You will collaborate with Finance and Global IT teams to design and develop next-generation AI-powered applications, intelligent assistants, workflow automation tools, document processing solutions, and AI agents that drive business value.

Whether you are a fresh graduate eager to begin your AI journey or an early-career professional looking to make an impact, this role offers an opportunity to work on cutting-edge technologies and real-world business challenges.

Key Responsibilities

AI Solution Development

• Design, develop, test, and maintain AI-powered applications for finance and business transformation initiatives.
• Build innovative solutions using Generative AI, Large Language Models (LLMs), Machine Learning, Natural Language Processing (NLP), and Data Analytics.
• Develop AI-powered finance assistants, knowledge bots, intelligent document processing solutions, and autonomous AI agents.
  
  

Business Technical Collaboration

• Partner with Finance stakeholders and Global IT teams to understand business challenges and translate them into scalable AI solutions.
• Convert business requirements into technical designs, proof-of-concepts, and production-ready applications.
• Collaborate with cross-functional teams to drive adoption and continuous improvement of AI solutions.
  
  

Integration Engineering

• Integrate AI applications with APIs, databases, cloud platforms, and enterprise systems.
• Develop and optimize data pipelines, model workflows, and application performance.
• Support deployment, monitoring, troubleshooting, and ongoing enhancement of AI solutions.
  
  

Innovation Continuous Improvement

• Evaluate AI model outputs for accuracy, reliability, and business relevance.
• Research emerging AI technologies and recommend innovative approaches to solve complex business problems.
• Contribute to AI best practices, reusable frameworks, and development standards.
  
  

Governance Compliance

• Ensure compliance with information security, data privacy, and Responsible AI principles.
• Create and maintain technical documentation throughout the solution lifecycle.
• Support AI solutions from prototype through enterprise-scale production deployment.
  
  

Required Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• Fresh graduates are encouraged to apply; 1-3 years of relevant industry experience is preferred.
• Strong programming skills in Python.
• Basic knowledge of SQL, APIs, Git, and software development best practices.
• Understanding of Generative AI, Machine Learning, NLP, Data Analytics, or related AI technologies.
• Hands-on experience in at least one AI, software development, analytics, or data-related project.
• Strong analytical thinking, problem-solving skills, and curiosity to learn new technologies.
• Good written and verbal communication skills in English.
• Ability to work effectively in a global and collaborative environment.
• Willingness to learn finance processes, business operations, and enterprise applications.
  
  

Preferred Qualifications

• Experience with AI frameworks such as LangChain, LlamaIndex, Hugging Face, OpenAI, Azure AI, or similar platforms.
• Exposure to cloud technologies such as Azure, AWS, or Google Cloud Platform.
• Understanding of RAG (Retrieval-Augmented Generation), Vector Databases, Prompt Engineering, and AI Agents.
• Knowledge of enterprise automation tools and modern application architectures.
• Experience developing chatbots, virtual assistants, or AI-powered business applications.
• Familiarity with data visualization and business intelligence tools.
  
  

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.