Senior Full-Stack AI Engineer

• Design, build, and integrate AI-enabled and Generative AI features
  , following security, responsible AI, and enterprise governance practices.
• Lead practical AI application patterns including Large Language Models (LLMs), prompt engineering, and orchestration, retrieval-augmented generation (RAG), 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 driving measurable outcomes.
• 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 best 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 the adoption of modern software engineering patterns, cloud-native practices with exposure to 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 trusted technical contributor to business, technology, risk, security, and product leaders by influencing design patterns, clarifying blockers, and supporting delivery with clear technical expertise.

• 7 years of industry experience in full-stack application design and development such as frontend, backend, APIs, databases, integration layers, or cloud-based platforms, with at least 3 years of experience AI-enabled application delivery
  , preferably within financial services, insurance, risk, or highly regulated environment.
• 3+ years of hands‑on experience with Generative and Agentic AI
  , including Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), 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 working 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.

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible environment where well‑being and inclusion are more than just words.
• As part of our global team, we’ll support you in shaping the future you want to see.

The role being advertised is an existing vacancy.

Manulife Financial Corporation is a leading international financial services…