Responsibilities This role will focus on building and maintaining the AI agents, workflows, and pipelines that power member-facing features and internal tools across the company.
- Design, build, and maintain AI agents and pipelines that integrate LLMs into member-facing features and internal tools
- Monitor performance, cost, reliability, and output quality of agents and pipelines in production, and build observability into these systems
- Integrate LLM APIs and third-party AI services into our Rails backend and existing systems
- Evaluate and select AI tools, models, and services, balancing capability, cost, and reliability
- Collaborate with other teams to identify opportunities where AI can improve member experience or internal workflows
- Troubleshoot issues and iterate quickly as models, tools, and best practices in the space evolve
Personality - You take pride in craftsmanship. You own every line of code you ship and hold yourself to a high standard of quality, clarity, and maintainability
- You aim to make pragmatic decisions and consider the balance between technical debt and over-engineering
- You love doing research and comparing products. You typically spend weeks researching before buying something
- You like helping people. The whole purpose of our website is to help people find the best product for them
You enjoy staying current on AI, in a space that changes quickly - You're comfortable with ambiguity, since much of this space doesn't yet have established best practices
- You have the drive to push projects forward, seeking feedback and focusing on what will bring the most value to users
Qualification/Experience- Bachelor's degree in Computer/Software Engineering, Computer Science, or equivalent
- 5+ years of professional software development experience
- Professional experience with Ruby on Rails is required
- Experience building applications that leverage Large Language Models (LLMs) and AI APIs
- Experience designing and integrating backend services and APIs
- Experience with vector databases, Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent frameworks
- Experience with observability or monitoring for AI systems (tracing, evals, logging, cost and latency tracking) is an asset
- Experience evaluating and integrating third-party AI services and tools
- Fast learner with strong problem-solving skills
Does this position interest you? Don't hesitate any longer, apply and come join our amazing team!
Disclaimer:For Quebec candidates: It is important to note that proficiency in English is required due to the international reach of our company, and the need to interact with users, suppliers, customers, etc., outside Quebec. We thank you for your understanding.Salary
$100,000-$160,000 CAD
