Lead Full Stack with AI

Toronto, ON
Hybrid
Posted Oct 16, 2026
1 position

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Employment type: Contract
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Lead the technical design, development, and delivery of complex software solutions, including production Gen AI systems and prompt engineering. Guide development teams, collaborate with stakeholders and data scientists, and establish technical practices and recommendations across functions.

Job details

Lead Full Stack with AI Toronto (2-4 days hybrid) Job Description As a Staff Engineer supporting the ADT - CODI program within Operations Technology, you will lead the technical design, development, and implementation of complex, multi-platform application software solutions, applying advanced expertise and knowledge to deliver innovative and strategic business outcomes. Leads software development projects of significant complexity, applying advanced expertise and knowledge to deliver impactful results. What Will You Do? • 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. What Do You Need to Succeed? Must Have: • 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. Nice-to Have: • Experience with Spec-driven Development • Experience in Camunda 8 development and customization • Experience with Vector Databases • Understanding of RAG architectures • Strategic thinker with excellent interpersonal skills to work across functions and businesses

What you’ll do

Requirements

Requires 7+ years of backend development experience with Java or Python, strong REST API and microservices skills, and experience with React, micro-frontend architectures, cloud technologies, and PostgreSQL. Also requires familiarity with Agentic AI, LLM integrations, prompt engineering, and Gen AI development tools; experience with spec-driven development, Camunda 8, vector databases, and RAG is an advantage.