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, 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 team-oriented 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. Acerca de Manulife y John Hancock

Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones d

📌 Python Full-Stack Software Engineer (Winnipeg)
🏢 Manulife
📍 Winnipeg