校招-工业IIOT工程师

Stakeholder engagement and solution scoping ● Engage with factory maintenance, quality, process, and production-leadership teams — remotely and through periodic on-site visits to the Hefei facilities — to identify, qualify, and prioritise high-value AI use cases. ● Translate ambiguous operational pain points into clearly scoped, measurable, and technically feasible agent requirements, and advise against low-value initiatives. End-to-end delivery ● Own the technical delivery lifecycle of assigned AI agents — prototype, deployment, adoption, and iteration — sharing accountability with business stakeholders for adoption and measurable operational impact. ● Establish evaluation, observability, fallback, and human-approval mechanisms appropriate to the operational risk of each deployed agent. Systems and OT integration ● Design and implement integrations between AI agents and enterprise and industrial systems — MES, SCADA, equipment-monitoring platforms, IIoT streams, approved PLC-data interfaces, and internal quality and issue-management platforms — through approved and governed interfaces, respecting cybersecurity, safety, access-control, and production-availability requirements. Agent orchestration and standardisation ● Compose and govern agents and tools on the Manufacturing Agent Platform (MAP); standardise reusable components and integration patterns to accelerate successive factory rollouts. 【任职要求】 ● Master’s degree or above in Computer Science, Software/Data Engineering, Electrical Engineering, Automation, or a related technical discipline, or equivalent practical experience. ● At least three (3) years of experience designing and deploying production software, data, or AI systems with real end users. ● Strong software-engineering fundamentals, including API development, data integration, testing, deployment, observability, and production troubleshooting. ● Demonstrated ability to use AI-assisted development tools effectively while independently reviewing, testing, debugging, and maintaining production code. ● Demonstrated experience with modern large-language-model and agent tooling, including retrieval-augmented generation (RAG), tool/function calling, orchestration frameworks, and evaluation methods. ● Demonstrated customer-facing capability, including requirement gathering, workshop facilitation, and stakeholder management. ● Rigorous approach to evaluation, testing, and failure-mode analysis. ● Working proficiency in English and Mandarin. ● Willingness to travel to the Hefei manufacturing facilities (typically 10–20% of working time, depending on project phase) and to work on-site within active production environments.