Full Stack AI Engineer (Remote)

Mogo; Vancouver; Remote; CAD 115,000 - 150,000; Full time

Job summary

Mogo is seeking a Full Stack AI Engineer to revolutionize personal finance using AI technologies. Your role will involve developing production-grade AI systems and intelligent workflows that improve financial experiences for users. If you have the curiosity and skills to reshape fintech with AI, we want to hear from you! This position offers flexibility with full remote work, competitive salary, and benefits package.

Benefits

Fully remote work

Comprehensive health and wellness coverage

Stock options

Flex vacation

Wellbeing programs

Qualifications

• 4+ years of experience as a full stack or backend engineer.
• Experience building and deploying LLM-based applications.
• Strong skills in Node.js, TypeScript, and databases.

Responsibilities

• Develop AI systems and maintain production-grade applications.
• Work on AI-native workflows for credit decisioning and payments.
• Collaborate cross-functionally across product, design, and compliance.

Skills

Node.js

TypeScript

MongoDB

MySQL

AI workflows

React

React Native

Python

Batch processing

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Terraform

AWS Lambda

Job description

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Join the Frontlines of an AI-Native Fintech

At Mogo, we’re reimagining the future of personal finance by embedding AI as the foundation — not as a layer. We're building intelligent, self-optimizing systems that aim to help millions of Canadians invest more intelligently and access credit more responsibly. Our platform is designed to break the cycle of short-term thinking in wealth and lending by combining proven value-investing principles with cutting-edge technology.

We’re building an elite platform for the next generation — one that helps Canadians graduate from stock gambling, underperforming funds, and high-fee advisors. By embedding intelligence into every layer of the product, we’re creating something that’s transparent, scalable, and truly transformative.

If you're a full stack builder who wants to go beyond "using AI" and help create a fintech that is built on AI, we want to talk.

The Role : Full Stack AI Engineer

We're looking for a product-minded engineer who can :

• Move fast like a startup dev
• Architect and ship production-grade systems
• Help lead the evolution of Mogo into an AI-first platform

You’ll drive development across backend systems and LLM agent orchestration, contributing to features that are autonomous, adaptive, and self-optimizing.

The base salary for this role is $115,000 – $150,000 CAD

What You’ll Build

• Production-Grade AI Systems Deploy and maintain LLM-powered systems in production environments with clear SLAs, observability, and fallback strategies. Focus on scalability, latency, throughput, and reliability to ensure AI services deliver real business value
• AI-Native Workflows Design and ship agent-based flows across onboarding, support, credit decisioning, and payments. You'll help build a self-serve credit experience that gets smarter with every user interaction, improving decisioning, repayments, and personalization through intelligence. Work cross-functionally with Product, Design, and Compliance to ensure these flows drive real outcomes and align with regulatory standards
• LLM Integrations Work with OpenAI, Claude, LangChain,, and other tools to build intelligent experiences. These include LLM-powered education tools and conversational interfaces that guide users through investing and credit decisions. Participate in architectural design discussions that center on securely and efficiently integrating LLM systems into production environments. Stay current with the latest AI advancements and evaluate emerging tools and frameworks that can advance our product
• End-to-End Features Develop full stack features with real impact—from backend APIs and microservices in Node.js / TypeScript to intelligent frontends in React or React Native—supporting personalized, AI-powered finance journeys. Champion best practices in testing, deployment, and code quality through modern development workflows (TDD, CI / CD, AI-driven testing)
• Autonomous Infrastructure Replace manual ops with AI-driven systems that don’t just assist, but autonomously take action. Your work will enable a high-performance fintech operation that’s lean, scalable, and largely self-managing
• Scalable Intelligence Architect systems for continuous learning, observability, and performance. Define and monitor AI performance metrics to assess model behavior, user impact, and long-term value. Your solutions will support both a smarter lending platform and a next-generation investing experience grounded in value-investing principles and real-time data
• AI-Optimized Engineering Practices Contribute to a culture of technical excellence by participating in code reviews, mentoring peers in AI-native engineering approaches, and continuously raising the bar for scalable, intelligent development

What You’ll Need

• 4+ years of experience as a full stack or backend engineer
• Strong skills in Node.js, TypeScript, and MongoDB / MySQL
• Experience building and deploying LLM-based applications using OpenAI, Claude, LangChain, etc
• Comfort with AI workflows like prompt chaining, embeddings, RAG, or vector search
• Familiarity with React / React Native to build intelligent frontends
• Experience optimizing LLM inference or training pipelines for latency, throughput, or cost is a strong plus
• Familiarity with infrastructure-as-code and cloud-native tooling (e.g. Docker, Terraform, AWS Lambda, CloudWatch, AWS CDK)
• Proficient in batch processing tasks, system design, and test-driven development
• Bonus : Exposure to Python for AI scripting or LangChain workflows
• Bonus : Experience with Ruby, event-driven systems (RabbitMQ / SQS), or serverless AWS (CDK, Lambda)

Who Thrives Here

• You have a deep curiosity about AI’s evolving landscape and enjoy staying on the frontier of tools and techniques
• You mentor others and elevate your team through thoughtful feedback, shared learning, and technical clarity
• You think AI is not a feature — it’s the foundation
• You believe fast iteration beats perfection
• You’re excited by 10x impact, not 10% improvements
• You want to own outcomes, not just write code
• You have a growth mindset and a builder’s DNA

AI Is the Driver — Let’s Build the Future Together

This is not AI as an afterthought. It’s the engine. We're not looking for someone to bolt AI onto existing systems — we're hiring engineers who want to rethink the entire system around intelligence.

If you want to be part of a fast-moving, high-performing team that's using AI to redefine what a fintech can be, apply now.

Benefits of working with us :

• ALWAYS FULLY REMOTE WORK - Enjoy the flexibility of remote work, supported by necessary resources
• Comprehensive Health and Wellness - Access medical, dental, and vision coverage plus a Health Spending Account
• Stock Options - Have a stake in the company's success through stock options
• Flex Vacation - Benefit from paid time off, including vacation days, holidays, and personal days
• Wellbeing Programs - Access counselling services, mental health support, and additional wellness resources

About Us :

We help make it easy for Canadians to achieve financial freedom while making a positive impact.

We live in the most innovative and technologically advanced era, yet so much struggle exists. Most of us are far from where we want to be financially.

We all want a better future. A better world where reaching financial freedom is a question of when, not if. One that's equitable so that all can prosper. One that's safe from the impact of climate change.

Our money has the power to change the world. It’s up to us to do things differently.

Apply today! Do you know anyone who would be a great fit for this role or other roles on our career page? Please share this job posting with them! Mogo is an inclusive place to spend your work life. We hire team members for their talent and diverse backgrounds. Bring your unique perspective to Mogo and help our customers achieve their best financial lives.

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Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

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