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
- Solid communication skills with stakeholders
- Ability to lead projects from inception to rollout Become a central figure in deploying AI solutions that transform business operations.

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