Job Description

Candid is building the AI layer for EPCs

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 .

We recently raised $6.5M from top AI and industrial investors (including Schneider Electric and Meta's Chief AI Scientist). Our team includes engineers from MIT, Carnegie Mellon, major LNG/power projects, and leading EPCs.

If you’re a mechanical engineer who is tired of rework, inconsistency, and constant document chasing, and you believe AI can remove bottlenecks, we would love to work with you. Please send your resume to join@candidintelligence.com.

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What You’ll 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

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What We’re 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)

Perks

• $180,000–250,000 base + meaningful equity
• Unlimited PTO
• Remote flexibility
• Health insurance
• Visa + green card support

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