Principal Software Engineer / Team Lead - AI Innovation
- Toronto, ON, Canada
$260,000 to $290,000 CAD / year · Full-time
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Job details
- Pay
- $260,000 to $290,000 CAD / year
- Job type
- Full-time
- Apply by
- Experience
- 15+ years of software engineering experience, including technical leadership at Staff, Principal, Senior Principal or Lead level.
- Posting language
- English
- Posted
Original job description
Position: Principal Software Engineer / Team Lead - AI Innovation
Location: Toronto, ON - Hybrid (2-3 days onsite)
Salary: $260K-$290K
Posting Type: Open vacancy
Our client, a leading global financial technology organization, is making a significant investment in building out its AI Innovation capability in Toronto.
We're looking for a Senior Principal Software Engineer who combines deep technical expertise with strong engineering leadership and a passion for building innovative, production-grade AI solutions.
This isn't a traditional management role. We're looking for a hands-on technical leader (70-80% coding) who can lead an engineering squad, shape architecture, mentor engineers and help bring new AI-powered applications from concept into production.
What you'll be doing:
- Lead the technical design, architecture and delivery of greenfield AI-powered applications.
- Remain deeply hands-on with software development while providing technical leadership to an engineering squad.
- Design scalable backend services, APIs, microservices and distributed systems.
- Partner with ML engineers and product teams to integrate AI/GenAI capabilities into enterprise applications.
- Drive engineering standards, code quality, technical decisions and mentorship.
- Influence the technical direction of new platforms and help establish best practices for AI-enabled software development.
What we're looking for:
- 15+ years of software engineering experience, including technical leadership at Staff, Principal, Senior Principal or Lead level.
- Strong hands-on development experience with Java/Spring Boot (preferred) or Python.
- Familiarity with React; you don't need to be a frontend specialist, but you've worked with some of the frameworks.
- Deep expertise in cloud technologies (AWS/Azure), microservices, distributed systems and software architecture.
- Real-world production AI/GenAI experience, such as integrating LLMs, RAG, AI agents or other intelligent capabilities into enterprise applications.
- Proven experience leading technical initiatives, mentoring engineers and making architectural decisions.
- Someone who enjoys solving complex technical problems and is still actively writing code.
Interested? Please send your updated resume to Zhanna Dalbenka at zhanna.dalbenka@quantum-qtr.com.
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More about this job
Responsibilities
Lead the architecture, technical design, and delivery of greenfield AI-powered applications while remaining hands-on in software development. Guide an engineering squad, build scalable backend services and distributed systems, integrate AI capabilities with ML and product teams, and mentor engineers while establishing engineering standards and best practices.
Requirements
Requires 15+ years of software engineering experience, including technical leadership at Staff, Principal, Senior Principal, or Lead level, and strong hands-on Java/Spring Boot or Python development experience. Candidates should have cloud, microservices, distributed systems, and architecture expertise, familiarity with React, and production experience integrating AI or GenAI capabilities into enterprise applications.
Skills
- Software Engineering
- Technical Leadership
- Java
- Spring Boot
- Python
- React
- Cloud Technologies
- AWS
- Azure
- Microservices
- Distributed Systems
- Software Architecture
- Artificial Intelligence
- Generative AI
- Large Language Models
- Retrieval-Augmented Generation
Visa sponsorship
Not detected in the job text
Hiring contact
Zhanna Dalbenka
Hiring contact email
zhanna.dalbenka@quantum-qtr.com
Categories
- Software
- Technology
- Management & Leadership
- Finance & Accounting
Keywords
- Artificial Intelligence
- Generative AI
- Large Language Models
- Retrieval-Augmented Generation
- AI Agents
- Java
- Spring Boot
- Python
- React
- AWS
- Azure
- Cloud Technologies
- Microservices
- Distributed Systems
- Backend Services
- APIs
- Software Architecture
- Greenfield Applications
- Enterprise Applications
- Production Software
- Technical Leadership
- Engineering Squad
- Mentorship
- Code Quality
- Engineering Standards
- Financial Technology
- Financial Services