AI Solutions Engineer (Founding Role) | TwinKnowledge
[NYC / Hybrid] · [$90k - $130k + equity]
TwinKnowledge is building frontier agentic AI systems that perform critical QA/QC on construction documents: drawing sets, specifications, shop drawings, and submittals. We're a Series A team backed by Camber Creek and Greatwave Ventures, and we're piloting with global contractors, developers, and public owners such as the Port Authority and Marriott International across the US, South America, Europe, the Middle East, and Asia. You'll be supporting projects on skylines and transit maps worldwide
You'll be our first AI Solutions Engineer, the person who turns a client's hardest review problem into a working AI workflow.
What you'll do
- Own the success of pilots with major firms and owners, from scoping use cases to configuring agent workflows to putting results in front of the reviewers who'll judge them.
- Design solutions from our current and near-future product for requests that don't fit neatly into either.
- Act as the client's voice inside our product team. You'll translate what a senior engineer actually needs into something our engineers can build.
- Keep pace with applied AI and help clients use it well.
Who you are
You've done the work our product reviews, and you've seen what AI can do with it. You have at least one of the following:
- 2–5 years as an architect; a structural, mechanical, or electrical engineer; or on the owner/developer side
- 2+ years at an AECO startup, any stage
You also use AI tools every day. If you've built your own workflows, Skills, or tools, show us. That's the clearest signal you'll thrive here.
Why this role
You'll define and own your role, not inherit it. You'll work directly with the product team and with clients whose projects are on skylines and transit maps worldwide.
Apply: Email [email protected] with a short note + anything you've built with AI · twinknowledge.com · https://www.linkedin.com/in/luke-reeve-65022b153/
Skills Required
- 2–5 years as an architect, structural engineer, mechanical engineer, electrical engineer, or professional on the owner/developer side
- At least 2 years of experience at an AECO startup
- Regular use of AI tools and experience building AI workflows, Skills, or tools
TwinKnowledge Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about TwinKnowledge and has not been reviewed or approved by TwinKnowledge.
-
Healthcare Strength — Health coverage is advertised as fully employer-paid for medical, dental, and vision. Feedback suggests this stands out as a strong offering for a small, seed-stage startup.
-
Leave & Time Off Breadth — Flexible PTO is listed in recent postings. Feedback suggests its effectiveness depends on clear team norms and manager expectations.
-
Equity Value & Accessibility — Equity is signaled in postings via a “competitive salary and equity package.” Feedback suggests offers include equity alongside cash compensation.
TwinKnowledge Insights
What We Do
TwinKnowledge is an AI-powered platform for the design and construction industry that automates requirements validation, compliance checking, and document review across complex projects. At its core, TwinKnowledge acts as a “knowledge engine” that unifies fragmented project data—such as drawings, specifications, building codes, contracts, and submittals—into a single, queryable source of truth . Using proprietary AI models and rule-based validation, it analyzes these inputs together (not in isolation) to ensure that all project requirements are aligned, compliant, and error-free. The platform deploys AI agents to automate critical workflows traditionally done manually by engineers and reviewers. These include validating that drawings match specifications, checking compliance with codes and standards, identifying discrepancies and risks, tracking version changes, and reviewing submittals and RFPs . By cross-referencing all project documents simultaneously, TwinKnowledge catches issues that are often missed in manual reviews. This approach addresses a major industry challenge: construction requirements are highly fragmented and constantly changing, while human teams typically review only a small fraction of documents. TwinKnowledge instead reviews 100% of project data, significantly increasing coverage, speed, and accuracy . The result is faster and more reliable project delivery. Customers use TwinKnowledge to reduce errors, shorten review cycles, improve traceability, and minimize costly rework and risk. Reported outcomes include 10–20x greater review coverage, faster decision-making, and fewer RFIs (requests for information) . Over time, the platform builds a customer-specific knowledge base—learning from each project, incorporating firm standards, and improving accuracy with every use. This creates a compounding advantage where future reviews become faster and more precise. In summary, TwinKnowledge transforms how construction projects are reviewed and validated by replacing manual, fragmented processes with an AI-driven system that ensures compliance, reduces risk, and scales expertise across entire organizations.
Why Work With Us
TwinKnowledge offers the opportunity to work on a category-defining AI platform tackling real-world problems in industries that represent trillions in global spend. TwinKnowledge is an early-stage, high-growth environment with strong traction, where you can shape product direction, have real-world impact, and meaningful ownership.
