Jobs · Engineering · North Carolina

AI Application Development Engineer

Lenovo · North Carolina, United States · 2 wk ago
Engineering$83/hrFull-time

Key Responsibilities

  • Design, develop, and maintain backend services for Sales IT systems using Java and Spring Framework/Spring Boot.
  • Build and support microservices (REST APIs, integration patterns, service reliability/observability basics).
  • Develop AI/ML-related code in Python, including data preparation, training experimentation, and evaluation.
  • Participate in AI projects with hands-on model training experience (e.g., feature engineering or embeddings, training runs, metrics, iteration, reproducibility).
  • Integrate trained models into applications (online inference APIs or batch jobs), ensuring performance, stability, and maintainability.
  • Partner with stakeholders to clarify business needs, translate them into technical solutions, and iterate based on feedback.
  • Demonstrate ownership: break down ambiguous problems, propose options, and drive tasks to completion with minimal supervision.

Required Qualifications

  • Bachelor’s degree in Computer Science or a related field (or equivalent experience).
  • 2+ years of experience working with programming skills (Java and Python).

Preferred Qualifications

  • Graduates from top-tier universities or those holding a Master’s degree are preferred.
  • Familiarity with Spring Framework (Spring Boot preferred).
  • Understanding of microservices architecture and API development.
  • Hands-on experience with at least one ML/DL framework, e.g. PyTorch, TensorFlow, or scikit-learn.
  • Real project experience in AI training (internship, academic, or industry), including training and evaluation of models.
  • Working knowledge of relational databases (e.g., PostgreSQL/MySQL/Oracle) and SQL.
  • Proficiency with common development tools and workflows (Git, debugging, build tools, testing).
  • Strong self-motivation and collaboration skills.
  • Experience deploying AI models to production (batch/streaming/online inference) and basic MLOps concepts.
  • Familiarity with containers and cloud (Docker/Kubernetes; AWS/Azure/GCP).
  • Experience with distributed systems, messaging, or caching (Kafka/RabbitMQ/Redis, etc.).
  • Ability to speak Chinese (Mandarin) is a plus.

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