Staff Software Engineer, AI & Customization Systems

Method CRM; Toronto; Hybrid; CAD 150,000 - 200,000; Full time

Job summary

Join Method CRM as a Staff Software Engineer, specializing in AI & Customization Systems. This role offers the chance to shape AI usage across the platform, deliver impactful workflows, and play a key role in fostering team collaboration. The ideal candidate will have extensive software engineering experience and advanced Python skills. Enjoy a flexible hybrid work model and a collaborative team culture focused on growth and innovation.

Benefits

Flexible hybrid work model

Comprehensive health benefits

Weekly lunch credit

Quarterly professional development budget

Qualifications

• 7+ years of software engineering experience.
• 2+ years focused on AI/ML in production.
• Advanced proficiency in Python.

Responsibilities

• Prototype and ship AI-powered user experiences.
• Design scalable, secure, cloud-native systems.
• Guide developers on AI best practices.

Skills

Python

AI

Mentorship

Tools

AWS

LLM APIs

LangChain

Job description

Staff Software Engineer, AI & Customization Systems

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Staff Software Engineer, AI & Customization Systems

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We're looking for an exceptional Staff Engineer to join our No-Code Next Gen team. This isn’t just another IC role—this is an opportunity to shape how AI is used across our platform, elevate other teams through your knowledge, and help us lead the way in AI-enabled app creation.

We're looking for an exceptional Staff Engineer to join our No-Code Next Gen team. This isn’t just another IC role—this is an opportunity to shape how AI is used across our platform, elevate other teams through your knowledge, and help us lead the way in AI-enabled app creation.

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

As a Staff Engineer focused on No-Code & AI Enablement, you will take a hands-on lead in delivering our most ambitious AI-powered experiences to date. You’ll architect and build AI-driven workflows—like co-pilots, prompt-based builders, and agent-backed tooling—while collaborating across the company to evangelize and scale these innovations. You’ll act as a multiplier : delivering impact through code and through mentorship that levels up our entire dev organization.

Key Responsibilities

• AI Feature Development : Prototype and ship AI-powered user experiences including prompt-based tools, retrieval-augmented generation (RAG) systems, and multi-step agent workflows.
• System Architecture : Design scalable, secure, cloud-native systems that integrate AI reliably into a multi-tenant SaaS product.
• Mentorship and Enablement : Guide developers on AI best practices through pair programming, internal sessions, and collaborative projects.
• Cross-Team Impact : Work with other product teams to identify where AI can amplify their offerings, and help them adopt frameworks or tools to do so.
• Documentation & Strategy : Establish standards for prompt design, evaluation methods, and system observability around AI features.

Technical Responsibilities

• Python & AI Frameworks : Build robust services using Python, LLM APIs, embedding models, vector stores (e.g. Pinecone), and orchestration frameworks like LangChain.
• Cloud & CI / CD : Deploy and monitor services in AWS with sound DevOps practices around logging, metrics, and rollback.
• Data & Messaging : Integrate with both SQL and NoSQL data sources and message-driven architectures (e.g., SQS, Kafka).
• Integration & APIs : Design clean APIs that integrate with external AI platforms and internal business logic.
• Security & Governance : Ensure AI features uphold strong principles around data safety, tenant isolation, and sandboxing.

What You Bring

Before you read this next section, we want you to know that we know the “ideal candidate” doesn’t exist — everybody has a unique background and skill set. Even if you don’t check every box below, we’d love for you to apply - we are building for the future and growth potential is a priority for us!

• 7+ years of software engineering experience, ideally with 2+ years focused on AI / ML in production.
• Advanced proficiency in Python and practical experience with LLMs, prompt engineering, and AI pipelines.
• Deep understanding of cloud-based architectures, preferably AWS, and modern deployment practices.
• Strong software design instincts and ability to reason about reliability, performance, and cost.
• Bonus points for C#, React, and prior experience working in complex SaaS environments.
• Experience working with agentic systems and intelligent assistants is a strong plus.

Why You’ll Love Method

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

What To Expect In Your First 90 Days

• Onboard with the No-Code Next Gen team and complete Method’s Bootcamp.
• Learn our architecture, teammates, and AI roadmap.
• Participate in reviews and technical discovery for near-term AI features.
• Own early delivery of AI building blocks (e.g., RAG pipelines, agent workflows).
• Contribute documentation and standards around AI observability, prompt handling, and fallbacks.
• Begin collaborating with other teams on knowledge sharing.
• Partner with another team to co-design an AI-enhanced workflow or tool.
• Provide mentorship to at least one developer exploring AI for their own product area.

At Method, we believe in a thoughtful and human approach to hiring. Every application is reviewed by a real person, never AI, because we know your experience, potential, and personality can’t be measured by an algorithm. We take the time to get to know each qualified candidate and appreciate the effort you put into applying.

This is an active role we’re currently looking to fill, and we thank all applicants in advance. Please note that only candidates selected for an interview will be contacted. We kindly ask that you do not call or contact us through agencies.

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.

At Method CRM, the use of the term “Engineer” in job titles such as “Software Engineer,” “QA Engineer,” or “DevOps Engineer” refers to roles in the software development industry and does not imply licensing under Professional Engineers Ontario (PEO). These titles are not intended to represent professional engineering as defined by the Professional Engineers Act of Ontario.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Software Development

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Staff Software Engineer • Toronto, ON, Canada