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As a forward-thinking AI Engineer, you will be instrumental in designing, developing, and deploying AI solutions using Copilot, Power Platform, Azure/Microsoft Foundry, and other low-code/no-code tools. This role blends software engineering, prompt engineering, and AI orchestration to deliver intelligent, scalable solutions across business domains.
About Manulife and John Hancock
Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit .
Manulife is an Equal Opportunity Employer
At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact .
Working Arrangement
Job ID: 139528405
Skills:
Apis, hybrid search, semantic search, Indexing, Access Control, relevance tuning
Skills:
Python, semantic search, agentic frameworks, multi-agent coordination patterns, RAG, backend API design, LLM agent evaluation frameworks, DevOps practices, LLM APIs, prompt engineering, embeddings
Skills:
Apis, Machine Learning, Numpy, XGBoost, Pandas, AI/ML Model Deployment, LightGBM, LangChain, Feature Engineering, Ai, Scikit-learn, Llm
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