Full-Stack Software Engineer

Manulife/John Hancock; Toronto; Hybrid; CAD 86,000 - 136,000; Full time

Benefits offered by this job

Health

Dental

Mental health support

Vision

Disability insurance

Life and AD&D

Job summary

Manulife/John Hancock is seeking a Full Stack Engineer to craft intelligent, cloud-native apps across the stack. You will work on React front-ends, scalable Python/Java back-ends, and data pipelines, integrating LLM-powered AI with practical enterprise use cases.

The role emphasizes hands-on development, secure coding, and end-to-end ownership from concept to production in a hybrid Toronto area setting.

Qualifications

• 3+ years of professional software engineering experience.
• Strong backend and full-stack development with Python, Java, and React.
• Experience developing backend services and APIs using FastAPI and async Python frameworks.
• Hands-on experience building LLM-based or agentic AI solutions (LangGraph, LangChain, AutoGen).
• Experience with RAG solutions, embeddings, and enterprise data sources.
• Data engineering experience with Azure Databricks, Delta Tables, and large datasets.

Responsibilities

• Design, develop, and maintain end-to-end applications across front-end, backend, API, AI, and data layers.
• Build responsive and accessible user interfaces using React and modern web practices.
• Develop scalable backend services and APIs using Python, FastAPI, and Java.
• Build and integrate LLM-powered AI applications using LangGraph, LangChain, AutoGen.
• Design RAG solutions with embeddings and vector search.
• Establish and maintain CI/CD pipelines with GitHub Actions.

Skills

Python

Java

React

FastAPI

LangGraph

LangChain

AutoGen

LLM integration

Azure Databricks

Kubernetes

GitHub Actions

Security

Education

Bachelor’s degree in CS/CE/SE

Tools

Azure Databricks

MongoDB/Cosmos DB

Azure API Management

Azure Service Bus

Job description

Full Stack Engineer

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 strong 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.

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.

Equal Opportunity Employer

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 [e-mail].

Salary and Location

Referenced Salary Location Toronto, Ontario

Working Arrangement Hybrid

Salary range is expected to be between $86,100.00 CAD - $136,100.00 CAD

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 [e-mail] for the salary range for your location.

Benefits

• health


• dental


• mental health


• vision


• short- and long-term disability


• life and AD&D insurance coverage


• adoption/surrogacy and wellness benefits


• employee/family assistance plans

Contact and Privacy Information

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.

To request a reasonable accommodation in the application process, contact [e-mail].

Our ambition is to be the number one choice for customers. Learn more at https://www.manulife.com/.

Recent awards include: 2026 Gallup Exceptional Workplace Award Winner Manulife Named one of Forbes World’s Best Employers 2025 Financial Times World’s Best Employers Asia-Pacific 2026 We’ve been recognized as one of Canada’s Top 100 Employers 2026 #1 Life Insurer for AI Maturity by Evident 2026