AI Applications Engineer — Backend & LLM Solutions

Lenovo; Morrisville; Hybrid; CAD 157,000 - 228,000; Full time

Job summary

Lenovo is seeking an AI Application Developer to join its U.S.-based AI Application Solutions team in a hybrid role at the Morrisville, NC office. You will design and develop AI-driven software solutions that translate machine-learning models into scalable backend services and applications.

The role focuses on building enterprise-grade applications with Python and frameworks like FastAPI/Flask/Django, developing ML pipelines, and implementing LLM-powered features such as semantic search and

Qualifications

• Bachelor’s degree in Software Engineering, Computer Science, Artificial Intelligence, or a related field.
• Strong Python programming and API development experience.
• Experience with ML libraries and building ML pipelines.

Responsibilities

• Design and develop AI-driven software solutions translating ML models into scalable backend services.
• Build, test, and maintain enterprise-grade applications using Python with FastAPI, Flask, or Django.
• Develop ML pipelines for training, evaluation, deployment, and monitoring using libraries like scikit-learn, TensorFlow, or PyTorch.
• Implement LLM-powered capabilities such as semantic search, intelligent assistants, summarization, and recommendations.
• Collaborate with data scientists, AI/ML engineers, and frontend teams to align model outputs with application logic and APIs.
• Build and maintain APIs and services exposing AI/ML functionality securely for internal and external use.

Skills

Python

API design

ML frameworks

Data pipelines

Team collaboration

Education

Bachelor's degree in Software Engineering / CS / AI

Tools

FastAPI

Flask

Django

scikit-learn

TensorFlow

PyTorch

Job description

Lenovo is seeking an AI Application Developer to join its U.S.-based AI Application Solutions team in a hybrid role at the Morrisville, NC office. You will design and develop AI-driven software solutions that translate machine-learning models into scalable backend services and applications.

The role focuses on building enterprise-grade applications with Python and frameworks like FastAPI/Flask/Django, developing ML pipelines, and implementing LLM-powered features such as semantic search and