Apply Generative AI and responsible AI practices to enterprise applications at Manulife, working hybrid in Toronto with Python and retrieval-augmented generation. This Senior AI Engineer role focuses on practical AI application patterns across business workflows and enterprise systems. You will work with Large Language Models, prompt engineering, orchestration, semantic search, model evaluation, guardrails, and human-in-the-loop processes. Your development work spans secure applications, APIs, backend services, and integration layers. Key Responsibilities:
Build Generative AI features for text-heavy enterprise use cases Develop LLM, RAG, orchestration, and evaluation patterns Implement responsible AI, governance, and security practices Translate business, risk, and operational requirements into solutions Track performance, value, evaluation, and continuous improvement Requirements:
One year of Generative and Agentic AI experience Experience with LLMs, prompt engineering, RAG, and AI governance Strong Python experience for backend or AI workflows Seven years of full-stack application development experience Experience supporting production logging, monitoring, and secure coding Develop governed Generative AI solutions with Python, LLMs, RAG, and enterprise application expertise at Manulife.
#J-18808-Ljbffr
Senior Generative AI Application Engineer employer: Manulife/John Hancock
Manulife/John Hancock is an exceptional employer that fosters a dynamic and inclusive work culture in the heart of Toronto. With a strong commitment to employee growth, we offer comprehensive professional development opportunities and encourage collaboration across global teams, making it an ideal environment for those looking to make a meaningful impact in the private debt sector. Our competitive benefits package and focus on work-life balance further enhance the rewarding experience of being part of our innovative organization.
