AI Application Developer

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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.

Job Summary: We are seeking an AI Application Developer to join our U.S.-based AI Application Solutions team. You will design and develop AI-driven software solutions that translate machine-learning models, predictive analytics, anomaly detection, and large-language-model reasoning into scalable, reliable backend services and applications. This is a software engineering role.

This is a hybrid role based in our office in Morrisville, NC

#hybrid

Roles And Responsibilities

Design and Implementation

• Design and develop AI-driven software solutions that translate machine-learning models, predictive analytics, anomaly detection, and large-language-model reasoning into scalable, reliable backend services and applications.
• Build, test, and maintain enterprise-grade applications using Python, leveraging frameworks such as FastAPI, Flask, or Django, with a focus on clean architecture, modular design, and maintainability.
• Develop and integrate machine-learning pipelines for training, evaluation, deployment, and monitoring of models using libraries such as scikit-learn, TensorFlow, PyTorch, or similar.
• Implement LLM-powered capabilities including semantic search, intelligent assistants, automated summarization, and recommendation systems using modern AI frameworks and APIs.
• Design and optimize data processing workflows for structured and unstructured data, ensuring performance, scalability, and reliability in high-volume production environments.
• Collaborate closely with data scientists, AI/ML engineers, and frontend teams to align model outputs with application logic, APIs, and user-facing requirements.
• Build and maintain APIs and services that expose AI and ML functionality securely and efficiently to internal and external consumers.
• Implement logging, monitoring, and analytics to track model performance, system health, feature adoption, and workflow bottlenecks.

Maintenance

• Ensure best practices in software engineering, including unit testing, integration testing, CI/CD pipelines, version control, and code reviews.
• Optimize system performance, reliability, and scalability across cloud or hybrid environments.
• Translate business and operational requirements into robust technical solutions that improve automation, decision-making, and overall system intelligence.
• Own the end-to-end functionality of AI-enabled software components, from development through deployment and ongoing optimization.

Basic Requirements

• Bachelor’s degree in Software Engineering, Computer Science, Artificial Intelligence, or a related field.
• 5+ year of experience developing software applications using C#, JavaScript, Python, or similar technologies.

Preferred Skills

• Prior experience collaborating with a global team
• Strong verbal, written, and spoken communication skills

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.