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. #J-18808-Ljbffr
📌 Full-Stack AI Deployment Engineer in Toronto (Winnipeg)
🏢 Qureos
📍 Winnipeg
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