AI Application Development

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. We are seeking a highly motivated AI Developer – New Graduate to join our US engineering team. This role is based in Morrisville, NC and operates under a hybrid policy. The target start date will be January 2027. This is an entry-level role designed for recent graduates with a strong software engineering foundation and hands-on exposure to AI/ML or Generative AI through internships, research, academic projects, or personal projects. You will participate in the design and development of enterprise AI applications using technologies such as LLMs, RAG, AI Agents, tool/function calling, embedding/vector search, and AI workflow orchestration. This is not a purely research-focused AI position. You will work on real enterprise products and collaborate with product managers, architects, developers, and business stakeholders throughout the solution lifecycle. We are particularly interested in candidates with the potential to grow into an FDE-style engineer — someone who can combine strong technical execution with business understanding, customer communication, rapid problem solving, and end-to-end ownership. Job Responsibilities • Design, develop, test, and enhance enterprise AI applications and AI-enabled product capabilities. • Build solutions involving LLMs, RAG, AI Agents, prompt engineering, tool/function calling, vector/embedding search, and AI workflow orchestration. • Develop backend services, APIs, data integrations, and other components required to connect AI capabilities with enterprise systems. • Participate in AI evaluation, testing, debugging, and performance improvement to continuously improve solution quality, reliability, latency, and user experience. • Work with product managers, architects, business stakeholders, and engineering teams to understand business problems and translate requirements into practical technical solutions. • Participate in requirement discussions, solution design, technical reviews, demos, UAT support, and production deployment. • Prototype and evaluate new AI technologies and quickly determine their feasibility for real business scenarios. • Troubleshoot technical and production issues and continuously improve application stability and engineering quality. • Develop a strong understanding of business processes and user journeys rather than focusing only on individual technical tasks. • Gradually take greater ownership of solutions from problem definition and prototyping through implementation and delivery. • For candidates demonstrating strong technical and communication capabilities, gradually develop toward an FDE role, directly partnering with stakeholders to explore problems, prototype solutions, and drive AI use cases from concept to production. Basic Qualifications • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related technical field. • Recent graduate or early-career candidate with strong academic, internship, research, or project experience. • Strong programming fundamentals, with hands-on experience in Python. • Hands-on project, research, or internship experience in at least one AI-related area such as: • Large Language Models (LLMs) • Generative AI applications • RAG • AI Agents • AI chatbot / conversational AI • NLP • Machine Learning • Embedding / vector search • Tool / Function Calling • AI automation • Ability to clearly explain the architecture, implementation, challenges, and results of AI or software projects you have personally worked on. • Good understanding of software engineering fundamentals, including APIs, databases, debugging, source control, and software development lifecycle. • Strong learning ability and curiosity about new AI technologies. • Strong problem-solving skills and willingness to work through ambiguous problems. • Good verbal and writt