Note: The job is a remote job and is open to candidates in USA. Motorola Mobility, a Lenovo Company, is seeking an AI Software Engineer to join their U.S.-based Sales IT Systems team. The role involves building backend services and developing AI/ML components, ensuring the delivery of AI-enabled features from design to production integration.

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

Skills

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