Manulife is a leading international financial services provider, helping people make decisions easier and lives better. Help craft the future you want to see — and discover that better can take you anywhere you want to go. Full Stack Engineer The Opportunity We’re looking for a Full Stack Engineer who is excited about building the next generation of intelligent, cloud-native applications. In this role, you’ll work across the full technology stack, from intuitive React experiences and scalable backend services to data engineering and Generative AI, RAG, and agentic AI solutions . You’ll help turn ideas and product requirements into secure, reliable applications that solve real business problems. This is an excellent opportunity for an engineer who enjoys hands‑on development, modern AI technologies, and owning solutions from concept through production. What You’ll Do Design, develop, and maintain end-to-end applications across front‑end, backend, API, AI, and data layers. Build responsive and accessible user experiences using React and modern web development practices. Develop scalable backend services and APIs using Python, FastAPI/async frameworks, and Java . Build and integrate LLM-powered and agentic AI applications using frameworks such as LangGraph, LangChain, AutoGen , or similar technologies. Design Retrieval‑Augmented Generation (RAG) solutions using embeddings, vector/hybrid search, and enterprise knowledge sources. Build and maintain data ingestion pipelines and work with large datasets using Azure Databricks and Delta Tables . Develop cloud‑native applications leveraging AKS/Kubernetes, Azure API Management, Azure Service Bus, MongoDB/Cosmos DB, and vector databases . Establish and maintain automated build, integration, and deployment pipelines using GitHub Actions . Implement strong engineering practices across testing, code reviews, observability, security, performance, and reliability. Troubleshoot complex production issues, conduct root‑cause analysis, and drive issues through resolution. Partner with product, design, QA, engineering, and business stakeholders to translate requirements into effective technical solutions. Contribute to architectural decisions and advocate for scalable, consistent engineering standards across the stack. Take ownership of individual deliverables and drive work forward with minimal supervision. What You Bring 3+ years of professional software engineering experience , with solid backend and full‑stack development expertise. Hands‑on development experience with Python, Java, and React . Experience developing backend services and APIs using FastAPI, asynchronous Python frameworks, or similar technologies .



Practical experience building LLM-based or agentic AI solutions using LangGraph, LangChain, AutoGen , or comparable frameworks. Hands‑on experience developing RAG solutions , including embeddings, vector or hybrid search, and enterprise data sources. Data engineering experience with Azure Databricks, data ingestion pipelines, Delta Tables, and large datasets . Experience with cloud‑native technologies such as AKS/Kubernetes, GitHub Actions, Azure API Management, Azure Service Bus, MongoDB/Cosmos DB, and vector databases . Strong understanding of application security, including authentication, authorization, input validation, and data protection. Strong verbal and written communication skills, with the ability to clearly explain technical approaches and trade‑offs to both technical and business audiences. A collaborative mindset combined with the ability to independently own and deliver work. Nice to Have Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, Information Technology , or a related discipline. Experience with Azure AI Search, Azure OpenAI, Azure AI Foundry , or comparable AI platforms. Experience with intelligent document processing , including OCR, document extraction, classification, and data validation. Working knowledge of Model Context Protocol (MCP) , tool calling, and AI integration patterns. The role being advertised is an existing vacancy. Referenced Salary Location Toronto, Ontario Working Arrangement ハイブリッド勤務 Salary range is expected to be between $86,100.00 CAD - $136,100.00 CAD マニュライフとジョン・ハンコックについて マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、 lご覧ください。 マニュライフは機会均等を是とする雇用主です マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別（妊娠および妊娠関連の状態を含む）、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。 雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、 までご連絡をお願いします。 Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job‑related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact for the salary range for your location. Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short‑and long‑term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact for more information about U.S.-specific paid time off provisions. We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement. #J-18808-Ljbffr

📌 Full-Stack Software Engineer (Toronto)
🏢 Manulife
📍 Toronto