Software Engineer

Procore Technologies; Toronto; On-site; USD 99,000 - 137,000; Full time

Job summary

An innovative company is seeking a Software Engineer to join their dynamic Product & Technology Team. This role focuses on leveraging cutting-edge AI technologies to enhance workflows and decision-making in the construction industry. As part of a collaborative team, you'll develop scalable software systems and integrate machine learning models into user-facing applications. With a commitment to employee growth and a culture that fosters creativity, this is a unique opportunity to make a significant impact in a vital sector. Join a forward-thinking organization and help shape the future of construction technology.

Benefits

Generous paid time off

Healthcare coverage

Career enrichment programs

Development programs

Qualifications

• 3+ years of software engineering experience with Python and Java.
• Familiarity with machine learning concepts and workflows.
• Experience building RESTful APIs and developing microservices.

Responsibilities

• Build and maintain robust software systems for machine learning workflows.
• Collaborate with ML engineers to turn research prototypes into applications.
• Design backend services and APIs that integrate machine learning models.

Skills

Python

Java

Machine Learning

RESTful APIs

Docker

Kubernetes

Git

CI/CD

Education

Bachelor's Degree in Computer Science

Master's Degree in a related field

Tools

FastAPI

Flask

AWS

GCP

Azure

Job description

Job Description

We’re looking for a Software Engineer to join Procore’s Product & Technology Team. Procore software solutions aim to improve the lives of everyone in construction and the people within Product & Technology are the driving force behind our innovative, top-rated global platform. We’re a customer-centric group that encompasses engineering, product, product design and data, security and business systems.

As a Software Engineer in the Construction Intelligence division, you will play a pivotal role in driving AI advancements that revolutionize the construction industry. Your contributions will enable smarter workflows, improve efficiency, and elevate decision-making processes for construction teams globally. This is an exciting opportunity to work on impactful projects, leveraging state-of-the-art AI technologies to tackle some of the industry’s biggest challenges.

We believe in extreme passion and relentless drive to do our best work every single day. Procorians are resilient, self-motivated, and selfless. If this resonates with you, please consider applying today!

This position is part of Procore's AI Studios and reports to the Director of Machine Learning in the Construction Intelligence division. It will be based in our Toronto, ON, Canada office. We’re looking for someone to join us immediately. Apply today to join our team of Groundbreakers.

What you’ll do:

• Build and maintain robust, scalable software systems that support machine learning workflows based on Python/Java
• Collaborate with ML engineers, product managers, and designers to turn research prototypes into production-ready applications and services.
• Design and implement backend services and APIs that integrate machine learning models into user-facing features or internal platforms.
• Write clean, maintainable, and well-tested code following best practices in software engineering and contribute to code reviews and team design discussions.
• Support deployment and monitoring of ML services in production, ensuring reliability, performance, and observability.
• Build AI Agents that automate parts of the workflow improving productivity for Construction Pros.

What we’re looking for:

• 3+ years of software engineering experience with Python and Java, including experience with backend frameworks (e.g., FastAPI, Flask, or Express).
• Familiarity with machine learning concepts and workflows, and experience collaborating with ML practitioners to bring models into production.
• Experience building RESTful APIs, developing microservices, and integrating with internal and external data systems.
• Proficient in Docker and deploying applications in Kubernetes environments, including basic Helm chart usage.
• Solid understanding of software development practices, including Git, automated testing, code reviews, and CI/CD pipelines.
• Ability to communicate technical ideas clearly and work collaboratively in a fast-moving, cross-functional environment.
• Exposure to cloud platforms such as AWS, GCP, or Azure, with experience in deploying containerized applications or using managed ML services.

Preferred Qualifications:

• Familiarity with ML orchestration tools such as Ray, Airflow, or similar, especially for supporting large-scale model training or inference workflows.
• Familiarity in working with LLM APIs/tools and prompt engineering
• Interest in data tooling, model observability, or performance monitoring for ML services.

Additional Information

Base Pay Range $99,360 - $136,620. Eligible for Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation, and has provided an estimated pay range for this role. Actual compensation will be based on a candidate’s job-related skills, experience, education or training, and location.

Perks & Benefits

At Procore, we invest in our employees and provide a full range of benefits and perks to help you grow and thrive. From generous paid time off and healthcare coverage to career enrichment and development programs, learn more details about what we offer and how we empower you to be your best.

About Us

Procore Technologies is building the software that builds the world. We provide cloud-based construction management software that helps clients more efficiently build skyscrapers, hospitals, retail centers, airports, housing complexes, and more. At Procore, we have worked hard to create and maintain a culture where you can own your work and are encouraged and given resources to try new ideas. Check us out on Glassdoor to see what others are saying about working at Procore.

We are an equal-opportunity employer and welcome builders of all backgrounds. We thrive in a dynamic and inclusive environment. We do not tolerate discrimination against candidates or employees on the basis of gender, sex, national origin, civil status, family status, sexual orientation, religion, age, disability, race, traveler community, status as a protected veteran or any other classification protected by law.

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