Senior AI Engineer

At BuildOps, we’re building a groundbreaking software solution, purpose-built to support today’s commercial contractors. From helping our customers manage their service department all the way to project management, we’re breaking the mold and building a team that invests in our mission statement. We love driven, self-motivated folks experienced in tech start-ups and thrive in fast-paced environments. Could you be our next hire?

This candidate will join a well-funded, fast-growing technology startup with the unique opportunity to help build out a critical function for the company.

As a member of the team, your primary focus will be to build and enhance AI and ML features in our industry-leading platform. We are looking for a motivated self-starter who can work in a distributed team environment. The day-to-day responsibilities are broad, and you will ultimately be responsible for building and shipping high-quality software that powers many businesses and shapes the maintenance industry. This candidate would work a Hybrid work schedule out of our Toronto office 

What you will do:

• Design, develop, and deploy machine learning models using Python and Javascript
• Collect, clean, and analyze data to identify patterns and insights
• Explore and implement new AI techniques and algorithms
• Design and test experiments using Jupiter Notebooks
• LLM tuning based on manual and automated feedback
• Write quality scalable code with high test coverage and documentation.
• Collaborate with cross-functional teams to deliver impactful AI solutions
• Propose recommendations, build prototypes, and provide feedback.
• Work in tandem with the QA engineering team to ship quality and high-precision software. 
• Build and maintain automated unit tests: unit, integration and UI
• Co-own the short and long-term technical vision of your squad with your teammates.
• Provide technical mentorship and guidance to engineers within your team and others.
• Help improve the technical quality of our work through regular technical design, code reviews and automated testing.
• Share your technical knowledge and expertise, promote using AI and ML methodology across the whole organization.
• Communicate effectively with engineers, product managers, customers, partners, and other leaders.
• Stay up-to-date on the latest AI technologies and trends

What We Look For:

• 2+ years of experience in developing AI solutions preferably with LLMs
• 5+ years of experience in Full Stack software development 
• 5+ years of experience in Python
• 3+ years of experience in Javascript/Typescript, Node.js
• Proven ability to design, develop, and deploy machine learning models
• Strong understanding of machine learning principles and algorithms
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, numpy or scikit-learn
• Experience with multi-variable non-linear optimization problems preferred
• You will be expected to shape and guide the AI/ML technology decisions of your squad, while contributing alongside them.
• As an individual contributor, you are a role model to more junior engineers.
• Strong communication and technical writing skills.
• Familiarity with unit testing, debugging, profiling and performance monitoring in AWS environment.
• Prior experience with Node.js, building features using REST and/or GraphQL APIs using Apollo preferred
• Prior knowledge or ability to quickly learn developing in a MLOps environment (MLflow or similar) preferred.
• B.S., M.S. or PhD in computer science, engineering or related fields.
• Ability to work hybrid schedule - Monday/Friday WFH, Tuesday - Thursday, in office.

What we offer:

• Base Salary $120k - $180k + bonus.
• Company equity/stock options.
• Comprehensive benefits package.
• Work from home stipend and flexible PTO.
• MacBook computer and accessories.
• Fast-paced, collaborative, and dynamic work environment.
• Opportunities for growth and career advancement.
• Chance to work with cutting-edge technology and innovative solutions.
• Ability to make a significant impact on the growth and success of the company.

About BuildOps:

BuildOps is a fast-paced, high-growth start-up committed to transforming a $300B+ industry through an innovative all-in-one SaaS platform. Leveraging the latest technology, we’re taking Commercial Specialty Contractors from the world of pen and paper to cloud-based, data-driven operations. Our leadership team has deep experience in both the Construction and SaaS technology industries, as well as a resume that includes Stanford, Harvard, Wharton, Cornell, Microsoft, and multiple successful start-up exits.

BuildOps has more than doubled year-over-year while raising over $140 million in total funding (including a recent round in Feb 2024). Top-tier investors like Founders Fund, Siemens, B Capital Group (BCG's venture arm), 01 Advisors, and more have backed BuildOps! Also, Dick Costolo, former CEO of Twitter, just joined our board, adding to an impressive group of investors/advisors including former President of Salesforce, Gavin Patterson; CAA founder Michael Ovitz; NFL legend Joe Montana; former heavyweight champion Mike Tyson, and Boost Mobile CEO Stephen Stokols.

Forbes Magazine
“BuildOps is unique because it addresses the problem of efficiency in construction for an often-overlooked audience. Rather than focusing on large projects, or catering to owners, they look to the needs of technician-heavy subcontracting firms working in the commercial space.”

TechCrunch
“The new financing will be used to support the company’s continued growth. BuildOps sells software that integrates scheduling, dispatching, inventory management, contracts, workflow and accounting into a single software package for commercial real estate contractors with staff ranging from a few dozen to several hundred employees.”

Crunchbase
In a statement, [former NFL superstar] Joe Montana noted that his firm (Liquid 2 Ventures) has an investment thesis in supporting America’s working class… “I just love the idea of making their lives far easier and better,” he said. With BuildOps, “you have one solution that does it all and talks seamlessly to every single part of their business from parts to ordering to inventory and more.”