Manulife

Financial Services

SeniorAIFull‑StackEngineer

$113–113k Waterloo, Ontario, Canada FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior AI Full‑Stack Engineer at Manulife. Skills: AI, Cloud Engineering, Full-Stack Development, Intelligent Applications. Design intelligent applications. Build intelligent applications”

Industry & Context.

Financial Services
Problems you'll solve

Solve complex technical challenges

What They're Looking For.

Must Have

8+ years software engineering, Proficiency in Python, JavaScript/TypeScript, Go, or Rust, Backend or full-stack experience, Hands-on cloud platform experience, Working knowledge of Kubernetes, Working knowledge of microservices architecture, Working knowledge of distributed system design, Experience with Infrastructure as Code, Experience with Observability as Code, Experience using AI-enabled development tools

Nice to Have

Experience implementing CI/CD pipelines, Ability to solve complex technical challenges

What You'll Do.

Design intelligent applications

Build intelligent applications

Integrate AI capabilities

Develop microservices

Develop distributed systems

Support AI-driven features

Support autonomous workflows

Support real-time inference

Prototype AI capabilities

Evaluate AI capabilities

Productionize AI capabilities

Integrate retrieval-augmented pipelines

Integrate multi-agent collaboration patterns

Leverage AI-assisted development tools

Enhance development efficiency

Contribute to AI architecture design

Design prompt pipelines

Design vector storage

Design model orchestration

Design inference services

Ensure solutions meet standards

Support DevOps practices

Ensure environment consistency

Ensure repeatable deployment

Collaborate with product teams

Collaborate with AI teams

Collaborate with cloud teams

Collaborate with engineering teams

Deliver user experiences

Adapt to evolving priorities

How You'll Work.

Team & Collaboration

Cross-functional teams; Product teams; AI teams; Cloud teams; Engineering teams

Full Job Description

Step into a role where AI isn’t an add‑on — it’s the foundation. We are seeking a Senior Full‑Stack AI Engineer to help shape how modern AI‑driven software is built, deployed, and scaled. In this role, you will work at the intersection of cloud engineering and intelligent application development, contributing to systems that incorporate reasoning engines, autonomous AI agents, and next‑generation user experiences. If you are motivated by experimentation with emerging AI frameworks, productionizing agent‑based workflows, and building systems that continuously learn and adapt, this role offers an opportunity to make a meaningful impact. This position provides the opportunity to influence how intelligent, AI‑powered software is designed and delivered at scale. You will collaborate with cross‑functional teams to build secure, reliable, and cloud‑native systems that enhance real user experiences. In addition, you will contribute to architectural direction, mentor others through technical leadership, and help promote responsible AI practices across the organization. **Position Responsibilities:** * Design and build intelligent, cloud‑native applications that integrate modern software engineering principles with emerging AI capabilities. * Develop APIs, microservices, and distributed systems that support AI‑driven features, autonomous workflows, and real‑time inference. * Prototype, evaluate, and productionize AI capabilities, including retrieval‑augmented pipelines and multi‑agent collaboration patterns. * Leverage AI‑assisted development tools (e.g., GitHub Copilot, Claude Code) to enhance development efficiency and code quality. * Contribute to the design of scalable AI system architectures, including prompt pipelines, vector storage, model orchestration, and inference services. * Ensure solutions meet established standards for security, governance, resiliency, compliance, and responsible AI usage. * Support DevOps practices, including CI/CD automation, environment cons

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