Shanghai AI Specialist SH 200051
- LocationNot stated
- Work typeNot stated
- Posted4 November 2026
- SourceIngersoll Rand's careers page (SAP SuccessFactors)
Live checkFirst seen 2 days ago; still listed on Ingersoll Rand's careers page 2 days ago.
At a glance
- EducationBachelor's degree
- LanguagesMandarin
- Skills and toolsPython, SQL, Snowflake, Salesforce, SAP, LLMs, SharePoint
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Responsibilities
- Build, integrate, and iterate AI applications, including agents, RAG solutions, prompt workflows, and AI-enabled business tools.
- Develop Python and SQL-based data pipelines, APIs, and integrations with enterprise systems such as Snowflake, Salesforce, SAP, SharePoint, and approved local platforms.
- Work with LLMs, vector databases, retrieval pipelines, and AI frameworks such as LangChain, LangGraph, MCP, or similar technologies.
- Translate business requirements into working prototypes and evolve them into production-grade solutions with deployment, monitoring, and support considerations.
- Support architecture decisions for China/APAC, including data residency, access control, cybersecurity, cross-border data flow, and approved local AI ecosystems.
- Collaborate with global AI, data engineering, AI Ops, and business teams across regions and time zones.
Basic Qualifications
- Bachelor’s degree or above in Computer Science, Software Engineering, Data Science, or a related technical field.
- Hands-on experience building and shipping at least one LLM application, RAG solution, prompt workflow, or AI agent for real users.
- Strong working proficiency in Python, solid SQL skills, version control, and experience with structured data and unstructured documents.
- Experience with APIs, containerized services, basic delivery pipelines, error handling, and integration with external or enterprise systems.
- Awareness of secure engineering, access control, personal data handling, auditability, and responsible use of AI coding tools.
- Professional fluency in Mandarin Chinese and sufficient English proficiency to collaborate with global teams.
Travel & Work Arrangements/Requirements
Full-time role based in Shanghai, China. Occasional collaboration across global time zones may be required.
Key Competen cies
- Strong builder mindset with the ability to ship fast, learn quickly, and improve solutions based on feedback.
- Good judgment on when to use LLMs versus deterministic, testable code.
- Practical understanding of retrieval quality, embeddings, chunking, source-grounded answers, and evaluation using test cases.
- Comfortable working with non-technical stakeholders and explaining technical trade-offs clearly.
- Curiosity about how AI creates measurable business value in industrial and enterprise environments.
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