Note: The job is a remote job and is open to candidates in USA. ProSearch is a company focused on building enterprise agentic AI systems for large manufacturers. They are seeking a Lead AI Engineer who will be responsible for the technical direction of the AI platform, including designing production-ready AI systems and collaborating with various teams to enhance industrial software capabilities.

Responsibilities

• Designing and building production-ready agentic AI systems that create industrial visualization dashboards from user intent
• Developing intelligent agents capable of reasoning through complex engineering workflows
• Building knowledge retrieval pipelines using technical documentation, engineering specifications, and existing platform assets
• Creating reusable AI Skills and Tools that safely interact with enterprise software
• Integrating AI capabilities with existing industrial visualization software and backend services
• Working closely with QA to establish deterministic testing, validation, and monitoring of agent behavior
• Collaborating with documentation and subject matter experts to improve agent knowledge and decision making
• Designing secure, traceable, enterprise-grade AI systems with strong governance and privacy controls
• Defining long-term architecture standards and serving as the technical owner for AI initiatives

Skills

• Industrial & Engineering Domain Knowledge
• Chemical engineering, process engineering, manufacturing engineering, or industrial automation environments
• Industrial process visualization
• Process flow diagrams (PFDs)
• Piping & Instrumentation Diagrams (P&IDs)
• Industrial dashboards
• SCADA, historians, or industrial analytics platforms
• Process industries including: Chemical Manufacturing, Oil & Gas, Pharmaceuticals, Power Generation, Utilities, Heavy Manufacturing
• AI & Agentic Systems
• Building production agentic AI applications
• Multi-step AI reasoning and orchestration
• AI systems that interact directly with software applications
• Agent state management
• Execution loops
• AI Skills and Tool development
• Model orchestration using modern LLM platforms
• Retrieval-Augmented Generation (RAG)
• Vector databases and embeddings
• Document parsing and knowledge retrieval
• Software & Platform Engineering
• 5+ years building production software
• Modern software architecture and system design
• API development and integration
• Testing, observability, reliability, and monitoring
• Enterprise application integration
• Performance optimization and maintainability
• Enterprise AI
• Experience building AI systems within enterprise environments where security and governance matter, including: Data privacy, Controlled information flow, AI guardrails, Traceability, Deterministic testing, Enterprise reliability
• Industrial visualization platforms
• Process simulation software
• Manufacturing execution systems (MES)
• Industrial historians
• Digital twin technologies
• Industrial IoT platforms
• Engineering documentation systems
• Enterprise manufacturing software

Company Overview