Manulife is a leading international financial services provider, helping people make decisions easier and lives better. Help craft the future you want to see — and discover that better can take you anywhere you want to go.

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, up-to-date 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.

The role being advertised is an existing vacancy.

Referenced Salary Location

Toronto, Ontario

Working Arrangement

ハイブリッド勤務

Salary range is expected to be between

$86,100.00 CAD - $136,100.00 CAD

マニュライフとジョン・ハンコックについて

マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、

📌 Full-Stack Software Engineer (Toronto)
🏢 Manulife
📍 Toronto