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Manulife Financial

Global financial services: insurance and investments

Senior Full-Stack AI Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 7 years of industry experience in full-stack application design and development, such as frontend, backend, APIs, databases, integration layers, or cloud-based platforms, including at least 1 year of AI-enabled application delivery; experience in financial services, insurance, risk, or a highly regulated environment is preferred.
  • At least 1 year of hands-on experience with generative and agentic AI, including large language models, prompt engineering, retrieval-augmented generation, AI governance, and responsible AI practices.
  • Strong hands-on experience with Python for backend development, API integration, or AI-enabled application workflows.
  • Strong experience building modern frontend and full-stack web applications using React.js.
  • Experience designing, building, and supporting REST APIs, backend services, microservices, and integration layers across enterprise systems.
  • Experience with relational databases such as Azure SQL and PostgreSQL, including SQL query development, application integration, data modeling concepts, and support for data-driven application features.
  • Practical experience with cloud-based application development or support using Microsoft Azure.
  • Experience with CI/CD pipelines, secure coding practices, and production support practices, including logging and monitoring capabilities.

Responsibilities

  • Design, build, and integrate AI-enabled and generative AI features while following security, responsible AI, and enterprise governance practices.
  • Lead practical AI application patterns, including large language models, prompt engineering and orchestration, retrieval-augmented generation, semantic search, model evaluation, guardrails, and human-in-the-loop workflows for text-heavy and data-intensive enterprise use cases.
  • Design, develop, test, and maintain full-stack applications, including user interfaces, APIs, backend services, and integration layers for scalable enterprise applications with AI-enabled capabilities.
  • Translate complex business, risk, and operational requirements into secure, scalable, maintainable, and measurable technical solutions that improve decision-making, productivity, automation, and business value.
  • Establish and follow engineering practices for AI-enabled application lifecycle management, performance monitoring, value tracking, evaluation, and continuous improvement.
  • Collaborate with engineers, product teams, and stakeholders on design, code reviews, troubleshooting, documentation, and continuous improvement.
  • Support adoption of modern software engineering patterns, cloud-native practices, Microsoft Azure Cloud, API-driven architectures, and AI-enabled development approaches.
  • Contribute to AI and data strategy by identifying reusable engineering patterns, scalable AI assets, data enrichment opportunities, and practical modernization paths for enterprise application delivery.
  • Act as a technical contributor to business, technology, risk, security, and product leaders by influencing design patterns, clarifying blockers, and supporting delivery with technical expertise.

Desired Qualifications

  • Experience in financial services, insurance, risk, or a highly regulated environment.

About the Company

Manulife Financial

Global financial services: insurance and investments

Manulife Financial is a global financial services provider offering a wide range of insurance and investment solutions. It serves individuals, businesses, and institutions with products such as life and health insurance, wealth management, and retirement plans. Customers fund these products through premiums, fees for asset management, and investment income earned on invested assets. Manulife uses analytics and technology to tailor services and improve efficiency, aiming to help clients protect their finances, grow their wealth, and plan for retirement. The company differentiates itself through its large international presence in North America, Asia, and Europe, its breadth of products, and its emphasis on data-driven insights to personalize offerings. Its goal is to help customers achieve their financial goals and aspirations by providing comprehensive, paid-for financial solutions and ongoing support across multiple regions.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1887

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