We are looking for an experienced Agentic AI Engineer who can design, build, and deploy advanced multi-agent systems using modern LLMs and

We are looking for a Senior Full‑Stack Engineer with strong experience delivering enterprise‑grade solutions using cloud technologies. You will design and develop scalable, secure cloud services and modern applications, while also contributing to AI‑enabled features using AI frameworks and agentic tooling.

Because much of the AI ecosystem is rapidly evolving, candidates are expected to have some hands‑on experience with AI solution development—particularly within the Azure ecosystem—along with the ability to learn emerging technologies quickly.

Position Responsibilities:

Design & Development

Design, build, and maintain enterprise‑grade cloud services and full‑stack applications.
Develop backend services, APIs, and cloud‑native components using secure and scalable patterns.
Build front‑end or full‑stack user experiences using modern frameworks (React, Angular, etc.).
Contribute to AI‑enabled features using Azure AI Foundry, LangChain, CrewAI, or other AI services
Apply engineering best practices including testing, secure coding, performance tuning, and CI/CD automation.

Integration, Quality & Governance

Ensure solutions comply with enterprise security, governance, reliability, and regulatory standards.
Implement monitoring and observability across cloud services.
Participate in system design sessions and architectural discussions.

Collaboration

Work closely with cloud engineering, product, data, and AI teams to deliver end‑to‑end solutions.
Participate in code reviews, design workshops, and engineering practice development.
Support integration of AI components into existing and new applications, collaborating with specialists when needed.

Required Qualifications:

5+ years of professional software engineering experience, with strong background in enterprise cloud development.
Proficiency in C#, Java, or Python, with experience in backend or full‑stack development.
Experience with cloud technologies, ideally Azure, including architecture, security, and deployment.
Experience using LLMs and prompt engineering, with hands‑on experience using models such as LLaMA, OpenAI, or Claude.
Some experience with AI services in Azure—such as Azure AI Foundry, Azure OpenAI, Cognitive Search, or model deployment workflows is preferred.
Strong understanding of microservices, distributed systems, security, resiliency, and performance optimization.
Experience with CI/CD tools such as GitHub Actions or Azure DevOps.
Experience building solutions in enterprise or regulated environments is preferred.

When you join our team:

• 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.

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 https://www.manulife.com/en/about/our-story.html.

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 [HIDDEN TEXT].

Working Arrangement

Hybrid

Senior Full Stack Software Engineer (Agentic AI)