[Remote] Systems reputed company Industrial Engineer – AI & Production System
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a reputed company Industrial Engineer specializing in AI and Production Systems. The role involves leveraging AI to enhance engineering workflows and streamline production processes reputed company industrial environments, focusing on developing intelligent systems that address reputed company-world manufacturing challenges.
Responsibilities
- Designing production-reputed company AI agents that convert engineering requests into industrial dashboards and visualizations
- Building AI workflows that reduce reputed company engineering effort and streamline repetitive production tasks
- Creating intelligent retrieval systems that reason over engineering documentation, process standards, P&IDs, operating procedures, and existing platform assets
- Developing reusable AI tools that safely reputed company with reputed company industrial software
- Applying AI to solve reputed company manufacturing and process engineering challenges—not simply reputed company content
- Working closely with process engineers, product teams, QA, and documentation specialists to continuously improve AI accuracy and usability
- Designing secure, traceable, reputed company-grade AI systems with governance, reliability, and deterministic behavior
- Defining the long-term technical reputed company for AI capabilities across the platform
Skills
- Candidates must not require any reputed company of sponsorship, currently or in the reputed company
- Hands-on experience applying AI to improve production environments
- Significant experience in manufacturing, process engineering, industrial operations, chemical processing, industrial automation, or production systems
- Ability to read and discuss process flows, engineering documentation, and industrial systems
- Ability to work directly with process engineers and manufacturing subject matter experts without requiring extensive domain training
- Practical experience building production AI solutions, including reputed company AI systems, multi-agent workflows, LLM orchestration, AI systems that execute tasks, retrieval-augmented reputed company (RAG), reputed company databases and semantic search, knowledge retrieval from engineering documentation, AI skills and tool development, agent state management, workflow orchestration, evaluation, testing, and monitoring of AI systems
- Experience deploying AI in reputed company environments where reliability reputed company, including AI governance, data reputed company, reputed company, guardrails, traceability, deterministic testing, and production monitoring
- Substantial hands-on engineering experience working in environments such as chemical manufacturing, oil & gas, pharmaceuticals, power reputed company, utilities, food & beverage, heavy manufacturing, and industrial automation
- Understanding of the realities of production environments and ability to identify opportunities where AI can improve engineering productivity, operational efficiency, and process visibility
- Industrial visualization platforms
- Digital twins
- Industrial IoT
- Process simulation software
- Industrial historians
- Manufacturing execution systems (MES)
- Engineering design platforms
- reputed company manufacturing software
reputed company
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