About Buildots
Buildots is the world’s most advanced construction intelligence platform. By comparing schedules and BIM against site reality, its advanced AI transforms granular data into insights that unlock operational excellence.
Over 100 global giants trust Buildots, including HOCHTIEF, Bouygues, Intel, NCC and VINCI Construction. Its impact is proven at every scale, from multi-family projects to multi-gigawatt data centers.
With $297M raised, this is your opportunity to join a high-growth company that's already closing in on unicorn status.
About the Role
We’re looking for people who are passionate about solving problems, don’t shy away from leading features and projects, and are sharp and creative enough to find outside-the-box solutions to our wide range of product initiatives
What you'll do:
- Design & Scale Core Pipelines: Architect, implement, and deploy our complex, highly-scalable data processing pipeline focused on analyzing massive amounts of data.
- Tackle Diverse Data Challenges: Work hands-on with vast construction data—ranging from scheduling and BIM to video processing and 3D model analysis. Architect and integrate various Computer Vision and data processing algorithms into a robust, cloud-based production environment to generate unique insights.
- Ensure Performance: Maintain a relentless focus on performance, reliability, and scalability as you process data from real-world construction sites globally.
- Tech Stack Focus: Develop primarily using Python in a modern cloud infrastructure (AWS preferred).
- Advanced AI Integration: "Skilled in pushing AI tools to the next level- moving from simple chat interfaces to building autonomous scripts, agents, or custom workflows that optimize system performance and reliability.
- Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance and observability are baked in from day one
Requirements:
- A seasoned backend engineer (7+ years) with strong Python experience.
- BSc. in Computer Science/Electrical Engineering, or equivalent.
- Proven expertise in large scale systems, specifically focusing on backend development, systems architecture, and high-volume data processing.
- Experience with high-performance, decentralized code development, and parallel processing.
- AI-Native Engineering: You are an AI-native engineer who leverages LLMs and agentic tools (like Cursor, Copilot, or Claude) not just for code completion, but as a core architectural partner to accelerate the entire development lifecycle allowing you to focus on the critical things.
- Comfortable working in a dynamic environment where your architectural decisions have company-wide impact.
- Have a proven track record of being a collaborative team player!
- Skilled in AWS, Docker/Kubernetes, and message queuing/streaming systems (SQS, Kafka, or RabbitMQ).
- You care deeply about writing clean, testable code and building observable systems (monitoring, logging, metrics).
- Experienced with CI/CD, observability, and cloud-native design.
- Experience with Databases (relational and/or NoSQL).
Nice to have:
- Experience with 3D rendering or Computer Vision domains.
Why join us?
Buildots is building the AI layer construction will run on, and we're moving at a pace that's redefining what growth looks like in this industry. We're partnering with some of the largest builders and investors on the planet to bring intelligence to a market worth trillions of dollars – and hiring smart, ambitious people to help us do it.
Own it from day one. We give our people responsibility and autonomy. You get the chance to take the initiative and get the job done.
Grow as fast as we do. The company's trajectory sets the ceiling, and right now there isn't one.
Join an elite team. We combine world-leading AI, computer vision and construction expertise. This unique blend helps us innovate faster and better than others.
Share what you build. Every employee gets the chance to hold equity. You're invested in the outcome, not just working toward it.
Requirements
- backend engineer (7+ years)
- Python/ Java/ Go experience.
- Cloud experience (AWS/ GCP/ Azure)
- Docker/Kubernetes
- BSc. in Computer Science/Electrical Engineering, or equivalent.
- Proven expertise in large scale systems, high-performance, decentralized code development, and parallel processing.
- AI-Native Engineering
- Experience with 3D rendering or Computer Vision domains- advantage.