AI Innovation: Senior Software Engineer, Full-Stack Applications

Job Title: Senior Software Engineer, Full-Stack Applications - AI Innovation Teams
Location: Toronto, Canada

We need experienced full-stack engineers who understand AI's potential and can lead technical initiatives—not AI specialists, but seasoned technologists who can architect solutions that leverage generative AI, intelligent automation, and ML to transform workflows. If you're energized by "let's architect this the right way and push what's possible" rather than "this is how we've always done it," this is a high-impact role where you'll work alongside talented ML engineers, mentor engineers, and drive technical excellence in one of the most exciting areas of technology today.

We'll Count on You To:
Architect and lead full-stack applications – Design and drive implementation of scalable application features using Java/Springboot, Python, and REACT; own architectural decisions for user interfaces, backend services, APIs, and infrastructure; establish technical patterns that make AI capabilities accessible and maintainable
Lead AI/ML integration architecture – Drive the technical approach for integrating generative AI, LLMs, and intelligent automation into full-stack applications; establish patterns for connecting ML models with user experiences; own technical decisions on how AI features are architected and implemented
Champion engineering excellence – Establish and enforce engineering best practices, conduct code reviews, mentor engineers on code quality, drive CI/CD pipeline improvements, and lead technical discussions that balance innovation with reliability; own technical debt management and architectural improvements
Drive technical decisions across teams – Lead collaboration with ML engineers, product managers, and business stakeholders; influence technical strategy; facilitate architectural discussions; and ensure alignment between AI innovation and application delivery through technical leadership
Mentor and elevate team capabilities – Provide technical mentorship to engineers, lead knowledge-sharing initiatives, conduct design reviews, drive technical growth through thoughtful feedback, and contribute to building a culture of engineering excellence and continuous learning
Balance innovation with pragmatic delivery – Drive features that move fast while establishing engineering standards; lead technical discussions on trade-offs; proactively identify and solve complex technical challenges; and own building applications that are both cutting-edge and production-ready
Own production reliability and technical excellence – Lead troubleshooting of complex issues, drive system performance and scalability improvements, establish monitoring and observability practices, and own operational excellence of systems you architect

What You Need to Have:
Deep full-stack engineering expertise – 12+ years of hands-on experience building web applications, with expert-level proficiency in Java, Springboot, Python, REACT, and modern web technologies; proven track record of delivering complex, production-quality full-stack solutions at scale
Polyglot programming mastery – Extensive professional experience with both Java and Python; ability to drive technical decisions across different technology stacks and architect solutions that span diverse codebases
Strong architectural and design expertise – Proven experience designing maintainable, scalable systems; deep understanding of design patterns, RESTful APIs, microservices, distributed systems; ability to make and own architectural decisions that impact multiple teams
Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)
Mastery of modern development practices – Expert knowledge of software development fundamentals including test-driven development, advanced Git workflows, sophisticated CI/CD pipelines, and driving code quality across teams
Leadership and collaboration skills – Proven ability to lead cross-functional teams, mentor engineers, influence technical direction, communicate complex technical concepts to diverse audiences, and drive alignment across ML engineers, product, and stakeholders
Strategic mindset with AI understanding – Solid understanding of how AI/ML and generative AI can transform workflows; experience evaluating emerging technologies; comfort with technical ambiguity; track record of driving adoption of AI-powered capabilities in production applications
Advanced problem-solving and technical depth – Exceptional analytical skills, experience navigating complex technical challenges, ability to drive multiple strategic initiatives, and proven success tackling sophisticated problems at the intersection of full-stack engineering and AI

What Would Make You Stand Out:
Cloud-native architecture expertise – Deep hands-on experience with Docker, Kubernetes/EKS, AWS/Azure, microservices architecture, sophisticated CI/CD pipelines, and architecting cloud-native solutions at scale
AI integration and production experience – Hands-on experience architecting and implementing AI/ML capabilities in production applications, working with LLM APIs, generative AI services, or building systems that leverage emerging AI technologies; proven track record making AI useful in production environments
API architecture and system integration expertise – Expert experience designing scalable RESTful APIs, architecting complex integrations, designing asynchronous workflows, and creating robust interfaces between systems
Advanced frontend architecture – Deep expertise with modern REACT patterns, complex state management, performance optimization, and architecting intuitive user experiences for sophisticated functionality
Technical leadership in innovation environments – History of leading technical initiatives in fast-paced environments, driving architectural decisions for greenfield products, or owning technical direction in early-stage initiatives built from the ground up
Mentorship and technical influence