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Candid Intelligence

Internal AI agent for EPC projects

Senior Process Engineer - Power Generation, Gas-to-Power

Thermal & Fluids EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USARemote

About the Job

Requirements

  • At least 7 years of experience at a large-scale EPC, PMC, or owner-operator, with most of that experience in power generation or gas-to-power.
  • Direct project experience in combined cycle, simple cycle, gas-to-power, LNG, or cogeneration; refining- or petrochemical-only experience is insufficient.
  • Personally owned PFD and P&ID development through FEED.
  • Strong knowledge of fuel gas systems, balance of plant, and utility systems.
  • Hands-on experience with process simulation tools such as Aspen HYSYS, Aspen Plus, Thermoflow or GT PRO, GateCycle, or similar tools.
  • Strong fundamentals in relief, hydraulics, and equipment sizing.
  • Working knowledge of API, ASME, NFPA, ISA, and relevant power codes.
  • Ability to identify inconsistencies across P&IDs, datasheets, and vendor packages.
  • Understanding of cross-discipline dependencies.
  • Comfort with ambiguity and wearing multiple hats.

Responsibilities

  • Perform process engineering on FEL-2 and early-phase delivery work, owning tasks the software cannot yet handle so projects can ship.
  • Review Candid's automated outputs, catch errors before they reach clients, and provide feedback to improve the product.
  • Define how preconstruction process work is performed on power and gas-to-power projects and establish quality standards.
  • Review and validate process deliverables across early-phase packages, including heat balances, fuel gas systems, balance of plant, and utilities.
  • Build repeatable checks to catch inconsistencies across key documents and handoffs.
  • Map where rework occurs, why it occurs, and which inputs drive it.
  • Clarify interface points with Mechanical, Piping, Electrical, and Instrumentation.
  • Distinguish repetitive steps suitable for automation from steps requiring engineering judgment.
  • Help define checks, workflows, and product requirements that enable software to handle repetitive work while engineers retain control.

Desired Qualifications

  • Discipline lead or technical authority experience.
  • Experience working on data center or behind-the-meter power campuses.
  • Flare system modeling and relief calculation packages.
  • Genuine interest in AI and automation.

About the Company

Candid Intelligence

Internal AI agent for EPC projects

Candid Intelligence builds an internal AI agent platform for EPC projects, focusing on data centers and process plants to shorten pre-construction work. It ingests engineering documents such as P&IDs with vision and language models to extract data from PDFs, then structures data into knowledge graphs and ontologies on the client’s own infrastructure. An orchestration layer uses multiple agents to coordinate workflows, resolve toolchain inconsistencies, and keep AI processes auditable with humans in the loop. The goal is to cut pre-construction timelines while keeping data secure and under client control, differentiating through on-premise processing, structured data models, and a partner-based, builder-led model.

Company size
1-10
Company stage
Seed
Total funding
$5.5M
Headquarters
San Francisco, CA
Founded
Not listed

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