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Fullstack AI Engineer
4 weeks ago
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, you will play a crucial role in developing and implementing cutting-edge AI solutions. We are looking for a motivated self-starter who can work in a distributed team environment. As a Senior AI Engineer, you will be responsible for designing, developing, and deploying machine learning models, utilizing LLM APIs (ex: OpenAI, Anthropic), training and tuning commercial and open source LLMs, developing workflows with AI agents to address complex business challenges and streamline customer's processes. This candidate would work a hybrid work schedule out of our Toronto office.
What you will do:
- Build and maintain our AI features by integrating our AI/ML backend into the rest of the platform features.
- Write quality scalable code with high test coverage and documentation.
- Develop, support, and improve our AI integrations using RESTful APIs and GraphQL.
- 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.
- Promote, teach, and enforce our documentation standards.
- 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.
What We Look For:
- Equivalent of 5+ years of experience in senior engineering roles (designing APIs, integrations, platforms, and tools used by other engineers).
- As an individual contributor, you are a role model to more junior engineers.
- You will be expected to shape and guide the technology decisions of your squad while contributing alongside them.
- Write modern JavaScript/ECMAScript code that is clean, well-tested, and reusable.
- Strong communication and technical writing skills.
- Strong experience with React.js to develop and test applications/components that work optimally in a production environment.
- Strong experience with Node.js, building features using REST and GraphQL APIs using Apollo.
- Prior experience building Python applications using Flask, FastAPI, or Starlette are preferred.
- Prior experience integrating AI/ML features preferred.
- Prior knowledge or ability to quickly learn Material-UI component library preferred.
- Prior knowledge or ability to quickly learn developing in a CI/CD environment preferred.
- Prior experience building and maintaining AI/ML data pipelines is a plus.
- Familiarity with unit testing, debugging, profiling, and performance monitoring.
- 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:
- Competitive salary and 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.
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