Senior Full-Stack Developer, No-Code Platform & AI Team

Method Integration Inc.•Toronto, ON

3d•Hybrid

About The Position

Our Development team is growing, and we’re searching for a Senior Full-Stack Developer to join us. We need someone who loves building solid, high-quality features and is excited to work with modern technologies. This is a hands-on coding role, but you’ll also have plenty of opportunities to step up, lead projects, and mentor your teammates. We’re on a mission to build the future of our platform with AI-powered tools that help users build and customize their no-code apps. If you’re a key player in this kind of innovation, we want to talk to you. About Method Method is on a mission to transform how small businesses operate by giving them real control over their customer workflows. Our flagship product, Method CRM is purpose-built for small businesses that have outgrown spreadsheets and generic tools. With deep QuickBooks integration and a powerful no-code customization engine, Method enables users to design workflows that truly fit their unique needs. As a scaling growth company, we’re now taking that mission further, leveraging AI to develop intelligent agents that assist users in rapidly building and customizing no-code apps. This innovation is at the heart of our next chapter, and we’re looking for people who are excited to build the future of work! The Role You’ll join our No-Code/AI team and own significant features from design all the way through to production. AI product development. You’ll build the systems behind two core products: an app builder where users describe what they want and the system generates it, and a conversational workflow engine where users interact with an AI agent to move work through their business. That means working with LLMs, vector stores, embeddings, and orchestration frameworks to create AI-driven features that are reliable and usable by non-technical small business owners. The real challenge isn’t wiring up API calls — it’s designing the right abstractions so AI capabilities integrate cleanly into a no-code platform where users need predictable, composable behavior. Full-stack ownership. Our backend is C#/.NET with SQL Server and MongoDB; frontend is React/TypeScript. You’ll work across both, making decisions about data modeling, API contracts, state management, and event-driven flows with RabbitMQ/SQS. These are your decisions to make — and yours to stand behind. Quality and standards. You’ll set the bar for testing, code quality, and architectural discipline. Your code reviews will make the team sharper. You’ll mentor junior and intermediate developers — not through lectures, but through how you build and how you explain your thinking. Operations. You’ll ship to AWS infrastructure (Docker, Kubernetes, CI/CD) and own what happens after deployment — monitoring, observability, and understanding how your systems behave under real load. How We Work We’re an AI-first engineering team. We use AI tools across coding, review, testing, and documentation, and we expect everyone on the team to do the same. Our approach to AI tooling is permissive — we default to allowing new tools rather than restricting them. If something makes you more effective, use it. The Team You’ll be joining a team of nine: an architect, four senior developers (including yourself), one intermediate developer, and two QAs. It’s a small, experienced group where everyone has real ownership over their work and direct influence on the product. You’ll report to a Development Manager. What to Expect in Your First 30 Days: Week 1: Meet the team, get your environment set up, and start getting familiar with the codebase and architecture. We’ll pair you with a team member for context on how things fit together, set up regular 1:1s with your manager, and get you into our tools and workflows. You’re a senior dev — we’ll give you the context you need and trust you to orient quickly. Weeks 2–3: You’re contributing. You’ll pick up real work from the backlog, join design discussions and code reviews, and ship through our pipeline. You’ll start forming opinions about the codebase and where you can have the most impact. Week 4: You’re owning work. You have a feature or initiative, you’re influencing architectural decisions, and you’re aligning with your manager on quarterly goals and where to focus for the rest of the year. 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.

Requirements

8+ years building production web applications, with real depth in both backend (C#/.NET or a comparable strongly-typed ecosystem) and frontend (React/TypeScript)
Strong system design thinking — you work in trade-offs, scalability, and maintainability. You can architect a solution, not just implement one
A solid testing discipline — you write well-tested code by default and have opinions about testing strategy at the unit, integration, and e2e levels
Production experience with AI integration: LLMs, embeddings, vector stores (Pinecone or similar), and orchestration frameworks (LangChain or similar)
A genuine passion for AI-powered user experiences — you’re not just integrating AI capabilities, you’re thinking about how they translate into something usable and valuable for non-technical users
Python for scripting and AI-related development
Cloud infrastructure experience with AWS, Docker, Kubernetes, and CI/CD pipelines
You ship, monitor, and respond. Deployment is the midpoint, not the finish line
You’re comfortable working independently on ambiguous problems — you don’t need every task scoped and handed to you
You use AI tools in your daily workflow and are always looking for ways to work smarter with them

Nice To Haves

Experience with event-driven architecture and messaging systems (RabbitMQ, SQS)
Experience with both relational (SQL Server) and NoSQL (MongoDB) databases, including performance optimization and data modeling at scale
A track record of mentoring developers in a way that actually moved the needle
Experience building responsive, accessible frontends with modern CSS and component libraries (MUI, Chakra, or similar)
Comfortable working closely with designers and product managers to refine UX flows and iterate on feedback
AWS or Microsoft certifications
Experience building or working within design systems

Responsibilities

Own significant features from design all the way through to production.
Build the systems behind two core products: an app builder where users describe what they want and the system generates it, and a conversational workflow engine where users interact with an AI agent to move work through their business.
Work with LLMs, vector stores, embeddings, and orchestration frameworks to create AI-driven features that are reliable and usable by non-technical small business owners.
Design the right abstractions so AI capabilities integrate cleanly into a no-code platform where users need predictable, composable behavior.
Work across backend (C#/.NET with SQL Server and MongoDB) and frontend (React/TypeScript), making decisions about data modeling, API contracts, state management, and event-driven flows with RabbitMQ/SQS.
Set the bar for testing, code quality, and architectural discipline.
Conduct code reviews to make the team sharper.
Mentor junior and intermediate developers.
Ship to AWS infrastructure (Docker, Kubernetes, CI/CD) and own what happens after deployment — monitoring, observability, and understanding how your systems behave under real load.
Use AI tools across coding, review, testing, and documentation.

Benefits

Flexible hybrid work model – designed to support work-life balance while maintaining strong team collaboration; employees work from our downtown Toronto office 2–3 days per week
Collaborative and social team culture – work in a supportive environment with regular team events and company-wide celebrations that keep things fun and connected
Growth-stage company experience – working at a scaling growth company like Method gives you deep insight into how a software company operates. You'll be involved in a wide range of discussions and initiatives, gaining experience that's hard to find in more siloed environments.
Training – You will receive initial and ongoing training on Method’s products, policies and procedures as well as a quarterly professional development budget.
Great downtown location – Method is located right in the heart of Toronto’s young and vibrant ‘King West’ technology hub at the corner of Adelaide and Spadina Ave.
Comprehensive health benefits – inclusive of healthcare, vision, and dental coverage to support your overall well-being
Weekly lunch credit – enjoy a meal on us every week as a small way to say thanks

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