AI/ML Engineer
Corning Incorporated2 hours ago
Shanghai, ChinaSenior
Responsibilities
- Design, build, and deploy production-grade AI agents, including supervisor agents and multimodal applications.
- Implement agent-tool and agent-data integrations using MCP and enable cross-agent communication using A2A.
- Develop reusable agent development patterns, Agent Skills, shared components, and internal packages.
- Design, build, and deploy machine learning, deep learning, and statistical models for business and AI product requirements.
- Perform data processing, feature engineering, and model or agent evaluation using Python, Databricks, AWS, and GitLab.
- Collaborate with business and technical stakeholders to identify data-driven innovation opportunities.
- Translate loosely defined business problems into actionable analytics and AI solutions.
- Contribute to scalable, reusable AI product architecture and development.
- Participate in cross-functional initiatives and continuously improve development workflows.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
- At least 5 years of experience in data analytics, machine learning, or AI solution development.
- Hands-on experience building LLM-powered applications or agentic AI solutions in production or production-like environments.
- Hands-on experience with Databricks, Git-based development workflows, CI/CD pipelines, and cloud-based data platforms such as AWS.
- Experience with LangGraph or comparable agent orchestration frameworks, plus familiarity with LangChain, embedding models, vector databases, and RAG architectures.
- Proficiency in Python and SQL.
- Experience with RAG architecture, multi-agent orchestration, tool-using agents, multimodal agent systems, agent protocols, authorization patterns, MLOps, data engineering, data pipeline automation, and scalable cloud data processing.
- Experience with agile development, version control, testing, and production deployment practices.
- Strong systems thinking, communication, collaboration, documentation, adaptability, and stakeholder-management skills.
- Experience with AI-assisted coding tools is preferred.
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