Take your engineering expertise to the next level as a Full-Stack AI Deployment Engineer in Toronto. With 3-6 years of experience, you will build impactful AI solutions for real-world operations.

This hands-on engineering role involves working directly with portfolio businesses to identify workflows and pain points. You’ll engage with teams to develop and deploy end-to-end AI solutions, ensuring they meet business needs effectively. This position combines technical skills with business acumen to create practical applications that drive efficiency.

Key Responsibilities:



• Collaborate with companies to assess operational challenges • Identify key AI opportunities to enhance outcomes • Build and deploy complete technical solutions • Monitor and improve system performance and reliability • Document successful technical patterns and lessons learned

Requirements: • 3–6 years in full-stack or solutions engineering • Proficient in TypeScript or Python, React, and SQL • Experience with production LLM or agentic applications • Robust communication skills with stakeholders • Ability to lead projects from inception to rollout

Become a central figure in deploying AI solutions that transform business operations. #J-18808-Ljbffr

📌 Full-Stack AI Deployment Engineer in Toronto
🏢 Qureos
📍 Toronto