Senior Full-Stack AI Engineer building secure Azure-based generative AI applications for Manulife. Delivering React, Python, API, and enterprise cloud solutions.
Responsibilities
Build modern, cloud-based, AI-enabled applications that support business decision-making
Design, develop, test, and maintain full-stack applications, including user interfaces, APIs, backend services, and integration layers
Design and integrate AI-enabled and Generative AI features
Lead AI application patterns involving LLMs, prompt engineering, orchestration, RAG, semantic search, model evaluation, guardrails, and human-in-the-loop workflows
Translate business, risk, and operational requirements into secure, scalable, maintainable, and measurable technical solutions
Establish engineering practices for AI-enabled application lifecycle management, performance monitoring, value tracking, evaluation, and continuous improvement
Collaborate with engineers, product teams, stakeholders, risk and security partners on design, code reviews, troubleshooting, documentation, and continuous improvement
Support modern software engineering patterns, cloud-native practices, Microsoft Azure, API-driven architectures, and AI-enabled development
Identify reusable engineering patterns, scalable AI assets, data enrichment opportunities, and modernization paths
Advise business, technology, risk, security, and product leaders on technical design patterns and delivery blockers
Requirements
7 years of industry experience in full-stack application design and development
At least 1 year of experience in AI-enabled application delivery
1 year of hands-on experience with Generative and Agentic AI
Experience with Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), AI governance, and responsible AI practices
Strong hands-on experience with Python
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
Experience with relational databases such as Azure SQL and PostgreSQL
SQL query development, application integration, and data modeling concepts
Practical experience with Microsoft Azure cloud-based application development or support
Experience with CI/CD pipelines, secure coding practices, production support, logging, and monitoring capabilities
Benefits
Flexible environment supporting well-being and inclusion
Health insurance
Dental insurance
Mental health benefits
Vision insurance
Short- and long-term disability insurance
Life and AD&D insurance
Adoption/surrogacy benefits
Wellness benefits
Employee/family assistance plans
Retirement savings plans
Pension
Global share ownership plan with employer matching contributions
Financial education and counseling resources
Paid holidays, vacation, personal, and sick days
Statutory leaves of absence
Incentive programs and incentive compensation tied to business and individual performance
AI code licensing program assessing existing software repositories for licensing value. Compensating eligible code owners under agreed non - exclusive licensing terms.
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