I made it at the last minute, but my umbrella broke.
AI in Recruitment
At Method, we use artificial intelligence (AI) to help support and enhance our recruitment process. These tools may assist with tasks such as resume screening, drafting job descriptions, generating initial interview questions, transcription, and occasionally sourcing candidates.
AI is never used to make final hiring decisions. All hiring decisions are made by our team. Our use of AI is intended to support administrative and repetitive tasks, helping us streamline our workflows while maintaining a thoughtful and human-centered hiring experience.
We are committed to the responsible and ethical use of AI in our recruitment practices. Our standardized hiring processes are designed to reduce bias and promote fairness, and we regularly review and refine our practices to align with evolving industry standards and legal guidelines.
Method is an equal opportunity employer for all — regardless of race, colour, ancestry, religion, gender identity, sexual orientation, age, marital status or able-bodiedness. As part of our commitment to be an inclusive and accessible workplace, we’re happy to provide accommodations for candidates taking part in the selection process.
Skills Required
- Expertise in modern C#/.NET, Web APIs, and backend design patterns
- Experience with event driven architecture and messaging systems such as SQS
- Experience designing systems supporting complex business logic and reusable platforms/engines
- Track record integrating complex third‑party REST or SOAP APIs
- Experience with React and familiarity with Razor, Blazor, and vanilla JavaScript
- Deep experience with persistence storage (SQL and NoSQL), including MongoDB and ElasticSearch
- Experience with AWS cloud infrastructure and related operational tooling
- Mastery of automated testing, observability, caching, and CI/CD tools
- 1-3 years of technical leadership experience (Lead Developer, Principal Engineer, Tech Lead)
- 5-7+ years of software development experience in production applications
- Experience designing or operating production AI-enabled or agentic systems (RAG, tool calling, orchestration)
- Post-secondary education in Computer Science, Computer Engineering, Software Engineering, or equivalent experience
What We Do
Method builds a customizable, web-based CRM platform designed to help small and medium-sized businesses manage customer workflows, sales, and operations, with a focus on QuickBooks integration.
