Laminar Projects
Shape.Construction is seeking an AI Engineer to design, build, and deploy AI-powered features across its construction management applications. This role involves collaborating with Product and SRE teams to integrate Large Language Models (LLMs) and generative AI into production-grade solutions, ensuring they are reliable, scalable, and secure. The ideal candidate combines strong software engineering skills with a pragmatic approach to product development and AI implementation.
Headquarters
London, England, United Kingdom
Company Size
51-200 employees
Founded
2017
Laminar Projects is a project management consultancy that helps organisations achieve controlled delivery of complex construction projects. They provide end-to-end services including project and construction management, project planning & controls (including visual planning), cost & commercial management, and data & digital solutions. Laminar combines sector expertise across data centres, high‑tech and industrial, power & renewables, civil infrastructure and mixed‑use developments with construction field software and integrated project controls systems to give clients greater transparency, governance and commercial certainty. Their focus is on giving owners complete control, reducing risk and improving delivery performance.
Digital Construction Awards 2023: Laminar Projects wins Best Use of Data on a Project
Jul 5, 2023
Digital Construction Awards 2025: Best Application of Technology
May 23, 2025
Digital Consultancy of the Year shortlist 2026
1 month ago
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Laminar Projects.
Laminar Projects didn’t post a salary, so this is our estimate from similar listings.
12% below the average for this role
Maximising data management on HS2
Sep 25, 2023