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AI Developer

Role: AI Developer

Reports to: Head of Software Engineering

Company: Condo Control, https://www.condocontrol.com/

Location: Toronto, ON (hybrid workplace model - Downtown Toronto office and working remotely)

Type: Full Time / Permanent

We are hiring an AI Developer to join our venture-backed startup in Downtown Toronto. We’re looking for candidates with approximately 5-10 years of experience, including at least 3 years specializing in Artificial Intelligence (AI). As an AI Engineer, you will design, develop, and deploy cutting-edge Agentic AI systems that exhibit autonomous, goal-driven behaviour. You will work closely with cross-functional teams to integrate rule-based logic, statistical models, and large language models into scalable, high-performance applications. The successful candidate will shape the technology stack and AI strategy for a company in the early stages of its AI journey.

The ideal candidate thrives in a fast-paced startup environment, solving problems in real-time while balancing short-term execution with long-term strategy. You’re passionate about innovation, scaling AI solutions, and contributing to a forward-thinking organization.

We have adopted a hybrid working model, and the position will work from home and occasionally from our downtown Toronto location.

Condo Control is a Canadian company that provides an online communication and property management software for condominiums, co-ops and HOAs. Condo Control provides a SaaS platform that helps property managers, board members, security teams and condo owners communicate quickly and easily. Our comprehensive software platform addresses all aspects of condo living, from communications and announcements, to tracking of visitors, packages, bookings, payments, and more. We are a high-growth SaaS company enabling the future of digital condo management.

Responsibilities

  • AI System Design, Development & Integration: Build cutting-edge AI solutions, integrate with external AI-based services, and drive research and innovation.
  • Seamless Integration: Lead the incorporation of AI technologies into Condo Control's products, aligning with business needs and exceeding performance expectations.
  • Agentic AI Development: Design and build autonomous AI systems that adapt to evolving requirements and make intelligent decisions.
  • Development Productivity: Identify and assess AI-driven tools to enhance application development, testing, and workflow efficiency. Optimize processes to improve overall productivity.
  • Problem-Solving & Troubleshooting: Diagnose and resolve issues in AI models and pipelines with a proactive approach.
  • Technical Implementation: Ensure AI systems are maintainable, scalable, and efficient by following best practices.
  • Leadership & Mentorship: Provide technical guidance, conduct code reviews, and support the career growth of team members.
  • Model Evaluation: Analyze and fine-tune model performance using key metrics to optimize accuracy and efficiency.
  • Requirement Translation: Convert complex business needs into actionable AI solutions and technical specifications.
  • Full Software Lifecycle Ownership: Take charge of analyzing, designing, prototyping, coding, testing, debugging, and supporting AI-driven solutions.
  • C# & .NET Development: Proficient in building AI applications and automation scripts within the .NET ecosystem. Experience with Azure AI, Fabric, Azure AI Foundry an asset.
  • SQL & Data Management: Strong expertise in data manipulation, querying, and integrating AI systems with SQL databases.
  • Large Language Models (LLMs): Hands-on experience implementing and fine-tuning LLMs for real-world applications.
  • Rule-Based AI Systems: Skilled in designing and integrating rule-based logic into broader AI frameworks.
  • Statistical Modeling: Competent in applying statistical models for data analysis and decision-making.
  • System Orchestration: Ability to coordinate complex architectures, ensuring seamless integration of multiple AI components.
  • API Development: Proven experience in designing, developing, and maintaining scalable APIs, including data export functionalities.
  • Collaboration & Communication: Excellent teamwork skills with a proactive approach to cross-functional collaboration and innovation.
  • SaaS Experience (Preferred): Experience working in a SaaS environment is an asset but not required.

Condo Control is an equal opportunity employer - regardless of race, colour, ancestry, religion, gender identity, sexual orientation, age, marital status or able-bodiedness. As part of our commitment to being an inclusive and accessible workplace, we can provide accommodations for candidates taking part in the selection process. We thank you for applying; however only those applicants under consideration will be contacted for an interview.

Upon joining the team, you will receive a competitive salary, full medical and dental benefits and 4 weeks’ paid time off annually. You will also have an annual training and learning budget for professional development to ensure you are always up-to-date with the latest industry trends and tools.

Average salary estimate

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$120000K

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What You Should Know About AI Developer, Klass

At Condo Control, we're excited to bring on an AI Developer who will play a pivotal role in shaping our cutting-edge AI systems. Based in our hybrid work environment in Downtown Toronto, this position is tailored for those who have around 5-10 years of experience, including a solid 3 years in the realm of Artificial Intelligence. Your expertise will help develop and deploy autonomous, goal-driven Agentic AI systems that push the boundaries of what is possible. Collaboration is key, as you'll be working alongside diverse teams to integrate rule-based logic, statistical models, and large language models into efficient applications. Ideal candidates are problem solvers who thrive in a fast-paced startup atmosphere, love experimenting with tech, and are excited about traditional structures’ shift. At Condo Control, we're not just another SaaS company; we're revolutionizing communication and property management for condominiums and homeowners associations through our innovative online platform. This role will allow you to influence our AI strategy and tech stack while enjoying an engaging work life balance. Plus, you get great benefits such as competitive salary, full medical and dental coverage, and generous paid time off. So, if you're passionate about crafting AI solutions and desire to join a company that values forward-thinking, we'd love to hear from you!

Frequently Asked Questions (FAQs) for AI Developer Role at Klass
What are the responsibilities of an AI Developer at Condo Control?

As an AI Developer at Condo Control, your main responsibilities will include designing, developing, and integrating advanced AI systems that are autonomous and goal-oriented. You'll lead initiatives to incorporate AI technologies into existing products, diagnose and resolve issues within AI models, and evaluate their performance to optimize efficiency. Moreover, you will mentor team members, translate complex business needs into actionable AI solutions, and own the full software lifecycle from conception to deployment.

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What qualifications do I need to be an AI Developer at Condo Control?

To qualify for the AI Developer position at Condo Control, you should ideally possess 5-10 years of relevant experience, with a minimum of 3 years dedicated to Artificial Intelligence. Proficiency in C# and .NET development, experience with large language models, and a strong foundation in data manipulation and SQL are crucial. Additionally, a knack for collaborative teamwork and innovative problem-solving will set you apart.

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What type of work environment can I expect as an AI Developer at Condo Control?

As an AI Developer at Condo Control, you'll work in a hybrid model, allowing for flexibility between remote work and occasional in-office collaboration at our Downtown Toronto location. This setup is designed to foster creativity and team synergy while providing the work-life balance that many tech professionals seek.

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How does Condo Control support professional development for AI Developers?

Condo Control is dedicated to the professional growth of its employees. As an AI Developer, you'll receive an annual training and learning budget that enables you to stay informed about the latest trends and tools in the industry. This commitment to continuous learning ensures that our team exceeds industry standards and remains innovative.

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What benefits do AI Developers at Condo Control receive?

AI Developers at Condo Control enjoy a competitive salary, comprehensive medical and dental benefits, and ample time off with 4 weeks of paid vacation annually. In addition to these perks, we emphasize a supportive environment that champions diversity and inclusivity for all employees.

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Common Interview Questions for AI Developer
Can you explain your experience with large language models as an AI Developer?

When answering this question, highlight specific projects where you've implemented or fine-tuned large language models. Discuss the challenges you faced, the strategies you employed to overcome them, and the overall impact your work had on the project. Make sure to convey your understanding of the practical applications of these models in real-world scenarios.

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What is your approach to diagnosing issues in AI models?

Describe a systematic approach to troubleshooting AI models, including data validation, checking code for errors, and assessing model performance metrics. You can share a past experience where you successfully identified and resolved a complex issue, emphasizing analytical thinking and problem-solving skills.

Join Rise to see the full answer
How do you ensure the scalability of AI solutions?

When discussing scalability, focus on designing architectures that allow for growth and adaptation. You can mention best practices for building robust APIs, using cloud solutions for compute power, and employing efficient data management strategies that prepare your AI applications for increased workload as demand rises.

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What tools have you used for statistical modeling in AI?

Reference specific statistical modeling tools you've worked with, such as R, Python’s libraries (like Pandas, NumPy, or Scikit-learn), or any specialized software. Illustrate how you applied these tools to analyze data and inform decision-making within your AI projects.

Join Rise to see the full answer
How do you mentor junior developers in AI?

To answer this question effectively, share your philosophy on mentorship, touching on the importance of guidance, feedback, and fostering a learning environment. Provide examples of how you’ve structured code reviews, supported ongoing education, and encouraged junior developers to lead their projects.

Join Rise to see the full answer
What are your strategies for keeping up-to-date with AI advancements?

Illustrate your commitment to professional growth by mentioning resources you use to stay informed, such as academic journals, industry events, or online courses. Discuss how you translate new knowledge into practical applications within your role as an AI Developer.

Join Rise to see the full answer
How do you approach collaborative projects in a cross-functional team?

Emphasize the importance of open communication, shared goals, and active listening in collaborative environments. Share examples that demonstrate your adaptability and effectiveness when working with professionals from various backgrounds to achieve common objectives in AI development.

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Describe your experience with API development for AI applications.

Discuss any relevant projects where you've designed and implemented APIs for AI applications. Highlight the importance of scalability, security, and ease of use when creating APIs and how your contributions positively impacted overall system integration.

Join Rise to see the full answer
What is your experience with rule-based AI systems?

When responding, detail your experience designing and implementing rule-based AI systems, discussing the scenarios where you found them particularly useful. Illustrate your understanding of when rule-based systems are appropriate versus when to incorporate machine learning models.

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How do you measure the success of your AI models?

Talk about specific metrics you monitor, such as accuracy, precision, recall, and F1 score. Share methods of evaluating model performance and how you iterate on your approach based on the insights gained, ensuring that the models continue to meet business needs.

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Klass is a Toronto-based growth equity firm that is passionate about helping software companies scale to become world-leading organizations. Klass takes a long-term approach to investing and is highly focused on adding value to its partners. Klass...

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Full-time, hybrid
DATE POSTED
March 24, 2025

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