We use AI to automate the repetitive mechanical engineering tasks that slow projects down. This means everything from reading drawings comparing datasheets reviewing vendor packages coordinating with other disciplines and closing tasks. Our goal is to make preconstruction 10x faster.
What Youll Do
You will help us encode the real multidisciplinary engineering workflow inside an EPC:
Mechanical
- Rotating/static equipment pumps compressors heat exchangers package units
- Datasheets equipment lists vendor documentation
- TBEs spec compliance checks MRs
Piping / Civil-Structural
- Piping layouts routing isometrics stress considerations supports
- Line lists MTOs tie-ins specialty items pipe classes
- Foundations equipment pads pipe racks trenching
- Review of structural and vendor drawings
Process
- PFDs P&IDs heat and material balances
- Simulation runs process calculations relief sizing
- Process datasheets and discipline handoffs
Electrical & Instrumentation
- Single-line diagrams MCCs load lists cable schedules
- IO lists instrument index control narratives
- Coordination with Mechanical and Piping for loads signals and interfaces
Cross-Discipline
- Show where rework happens why it happens and which steps can be automated
- Teach us the real workflows dependencies exceptions and engineering judgment
- Your experience becomes the blueprint for an AI that handles the repetitive parts of EPC engineering
What Were Looking For
- 5 years at an EPC PMC or owner-operator
- Strong understanding of FEED and Detailed Design workflows
- Hands-on experience in your discipline (Mechanical Piping Process or Electrical)
- Knowledge of relevant standards (API ASME NFPA ISA IEEE AISC ASCE etc)
- Ability to quickly spot inconsistencies across drawings models specs and vendor documents
- Experience reviewing junior work or delegating tasks
- Clear understanding of cross-discipline dependencies
Nice to Have
- Experience taking scope from start to finish
- Familiarity with AVEVA Hexagon SmartPlant Aspen ETAP Caesar II or similar tools
- Interest in AI or automation (no prior experience required)
We use AI to automate the repetitive mechanical engineering tasks that slow projects down. This means everything from reading drawings comparing datasheets reviewing vendor packages coordinating with other disciplines and closing tasks. Our goal is to make preconstruction 10x faster. What Youll D...
We use AI to automate the repetitive mechanical engineering tasks that slow projects down. This means everything from reading drawings comparing datasheets reviewing vendor packages coordinating with other disciplines and closing tasks. Our goal is to make preconstruction 10x faster.
What Youll Do
You will help us encode the real multidisciplinary engineering workflow inside an EPC:
Mechanical
- Rotating/static equipment pumps compressors heat exchangers package units
- Datasheets equipment lists vendor documentation
- TBEs spec compliance checks MRs
Piping / Civil-Structural
- Piping layouts routing isometrics stress considerations supports
- Line lists MTOs tie-ins specialty items pipe classes
- Foundations equipment pads pipe racks trenching
- Review of structural and vendor drawings
Process
- PFDs P&IDs heat and material balances
- Simulation runs process calculations relief sizing
- Process datasheets and discipline handoffs
Electrical & Instrumentation
- Single-line diagrams MCCs load lists cable schedules
- IO lists instrument index control narratives
- Coordination with Mechanical and Piping for loads signals and interfaces
Cross-Discipline
- Show where rework happens why it happens and which steps can be automated
- Teach us the real workflows dependencies exceptions and engineering judgment
- Your experience becomes the blueprint for an AI that handles the repetitive parts of EPC engineering
What Were Looking For
- 5 years at an EPC PMC or owner-operator
- Strong understanding of FEED and Detailed Design workflows
- Hands-on experience in your discipline (Mechanical Piping Process or Electrical)
- Knowledge of relevant standards (API ASME NFPA ISA IEEE AISC ASCE etc)
- Ability to quickly spot inconsistencies across drawings models specs and vendor documents
- Experience reviewing junior work or delegating tasks
- Clear understanding of cross-discipline dependencies
Nice to Have
- Experience taking scope from start to finish
- Familiarity with AVEVA Hexagon SmartPlant Aspen ETAP Caesar II or similar tools
- Interest in AI or automation (no prior experience required)
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