Note: The job is a remote job and is open to candidates in USA. ProSearch is seeking a Lead Industrial Engineer with a focus on AI and production systems. The role involves developing AI solutions to enhance engineering workflows and streamline production processes in industrial environments.
Responsibilities
- Designing production-ready AI agents that convert engineering requests into industrial dashboards and visualizations
- Building AI workflows that reduce manual 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 interact with enterprise industrial software
- Applying AI to solve real manufacturing and process engineering challenges—not simply generate content
- Working closely with process engineers, product teams, QA, and documentation specialists to continuously improve AI accuracy and usability
- Designing secure, traceable, enterprise-grade AI systems with governance, reliability, and deterministic behavior
- Defining the long-term technical strategy for AI capabilities across the platform
Skills
- Substantial hands-on engineering experience working in environments such as Chemical Manufacturing, Oil & Gas, Pharmaceuticals, Power Generation, Utilities, Food & Beverage, Heavy Manufacturing, Industrial Automation
- 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 Agentic AI systems, Multi-agent workflows, LLM orchestration, AI systems that execute tasks—not simply answer questions, Retrieval-Augmented Generation (RAG), Vector 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 enterprise environments where reliability matters, including AI governance, Data privacy, Security, Guardrails, Traceability, Deterministic testing, Production monitoring
- Industrial visualization platforms
- Digital twins
- Industrial IoT
- Process simulation software
- Industrial historians
- Manufacturing execution systems (MES)
- Engineering design platforms
- Enterprise manufacturing software
Company Overview