AI Application Development Engineer

We are seeking an AI Application Development Engineer to join our U.S.-based Sales IT Systems team. You will build backend services using Java/Spring and develop AI/ML components using Python and a machine learning framework such as PyTorch (or equivalent). You will help deliver AI-enabled features end-to-end-from problem understanding and solution design to implementation, model training/experimentation, and production integration. We value engineers who can work with ownership, collaborate well, and bring product thinking-people who can propose ideas, challenge assumptions constructively, and drive practical outcomes.

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.
• Work with relational databases and SQL; collaborate on data modeling and query/performance considerations.
• Use modern engineering practices and tools (Git, code reviews, testing, CI/CD) to deliver production-quality software.
• 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 languages (Java and Python).
• Real project experience in AI training (internship, academic, or industry), including training and evaluation of models.
• Hands-on experience with at least one ML/DL framework, e.g. PyTorch, TensorFlow, or scikit-learn.

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.
• 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.