Full Stack AI Engineer (Remote)

💰 ₹18,000 - ₹28,800 (Est.) 📍 Victoria

Job Description

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
Build LLM-native, intelligent workflows
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 #LI-Remote
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.

FWUZOhKB26

💡 Quick Summary

Seeking a career-building opportunity? The Full Stack AI Engineer (Remote) position is now open for candidates interested in the Work from home Jobs sector. This role in Victoria offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.

Sponsored

Job Details

Company Name: Mogo Finance Technology Inc.

Frequently Asked Questions

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The expected salary for Full Stack AI Engineer (Remote) in Victoria is ₹18,000 - ₹28,800 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, Full Stack AI Engineer (Remote) is an on-site position based in Victoria. Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Full Stack AI Engineer (Remote). Previous experience in Work from home Jobs is a plus. Freshers may also apply depending on the employer's requirements.
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