AI Application Development

About the Role

Lenovo is seeking a highly motivated AI Developer – New Graduate to join their US engineering team in Morrisville, NC. This role operates under a hybrid policy and is designed for recent graduates with a strong software engineering foundation and hands-on exposure to AI/ML or Generative AI. You will participate in the design and development of enterprise AI applications, working on real enterprise products and collaborating with various stakeholders.

Key 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 to connect AI capabilities with enterprise systems.
• Participate in AI evaluation, testing, debugging, and performance improvement.
• Work with product managers, architects, business stakeholders, and engineering teams to translate requirements into technical solutions.
• Participate in requirement discussions, solution design, technical reviews, demos, UAT support, and production deployment.
• Prototype and evaluate new AI technologies.
• Troubleshoot technical and production issues.
• Develop a strong understanding of business processes and user journeys.
• Gradually take greater ownership of solutions from problem definition through implementation and delivery.
• Develop toward an FDE role, partnering with stakeholders to explore problems, prototype solutions, and drive AI use cases.

Requirements & Tech Stack

• Strong programming fundamentals with hands-on experience in Python.
• Hands-on project, research, or internship experience in at least one AI-related area:
• 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.
• 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 written communication skills, with the ability to collaborate with both technical and non-technical stakeholders.
• Strong ownership mindset and willingness to learn business processes.
• Ability to work effectively in a global, cross-functional engineering environment.

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.

Preferred Qualifications:

• Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field.
• Internship or project experience building production-oriented LLM or Generative AI applications.
• Experience with frameworks or technologies such as LangChain, LangGraph, AutoGen, Hugging Face, PyTorch, or similar AI development frameworks.
• Experience with RAG pipelines, vector databases, embeddings, Agent workflows, or tool/function calling.
• Experience with backend development using Python frameworks such as FastAPI or Flask.
• Familiarity with relational databases, SQL, REST APIs, cloud platforms, Docker, or Kubernetes.
• Experience developing and evaluating AI prototypes and converting prototypes into usable applications.
• Exposure to LLM evaluation, prompt evaluation, test datasets, or AI observability.
• Experience working directly with users, customers, product teams, or business stakeholders.
• Demonstrated ability to independently explore an unfamiliar problem, quickly build a prototype, collect feedback, and iterate on the solution.
• Interest and potential to grow toward a Forward Deployed Engineer (FDE) role.
• Mandarin Chinese communication skills are a plus.