Position: Lead Full Stack Developer

Location: Toronto, On – Hybrid

Job Summary:

• Designs, develops, and oversees the implementation of advanced technical solutions, ensuring alignment with business objectives and adherence to best practices, while managing the end-to-end technical delivery of projects.
• Build Gen AI system frameworks, Prompt Engineering, including designing and refining prompts to optimize LLM outputs, implementing Gen AI systems into production.
• Leads development teams in the delivery of capabilities, providing technical direction and guidance to junior developers and team members and ensuring the successful execution of complex assignments and projects
• Collaborates with business stakeholders and product owners to translate strategic objectives into actionable technical solutions, leveraging advanced knowledge to address unique and high impact challenges.
• You will be responsible for working closely with AI data scientists to support data ingestion and feature engineering, establishing industry best practices, maintaining and managing technical documentations.
• Executes on software development tasks or projects, requiring advanced problem solving, decision making and strategic thinking with some ambiguity.
• Drives decisions on complex issues to develop clear, actionable recommendations for management, ensuring alignment on processes, tools and services with impact across other areas.
• Leverages advanced and creative skills to resolve complex software development related problems, fostering cross functional collaboration to identify and implement innovative solutions.
• Leads and facilitates cross functional collaboration efforts, fostering strong internal relationships across the organization and external partnerships to achieve impactful business outcomes.

Required Skills:

• 7+ years of backend development experience in Java or Python
• Strong backend development experience in Java or Python, including REST API and microservices
• Strong experience with React and modern frontend development, including Micro-frontend (MFE) architectures and reusable UI components
• Hands-on experience or strong understanding of Agentic AI concepts, LLM integrations
• Understanding of prompt engineering and Gen-AI Development tools (GitHub Copilot, Windsurf, Claude Code)
• Experience with Cloud platforms and technologies (OpenShift, Kubernetes, S3 Object Storage)
• Experience working with relational databases particularly PostgreSQL, including schema design, query optimization and performance tuning.

Regards

Patrick Fernandez

Talent Acquisition Group - Strategic Recruitment Manager