Job Title

Overview Help Transform a Real Fintech Company Into an AI-Native System Orion Digital Corp. operates real revenue-generating platforms across lending, investing, and payments. Key Points We are regulated We have production infrastructure We have legacy systems We are redesigning the core We are in the middle of becoming AI-native, not as a feature layer but as a structural shift in how software is built, how decisions are made, and how workflows operate. This is not greenfield experimentation. This is live-system transformation. If you want to help rebuild a functioning fintech company into an AI-native operating model, this role is aligned. The Context AI is compressing the cost of software creation and decision-making toward zero. The advantage is no longer who ships more code. Its who redesigns systems around intelligence. Orion is restructuring around that reality. We Are Replacing manual workflows with agents Embedding intelligence into core systems Redesigning deterministic architectures to incorporate probabilistic reasoning Building evaluation and reliability frameworks where none previously existed This transformation is active and underway. You will help drive it. The Role You will design and ship production-grade AI systems inside a live fintech environment. This is not prompt engineering. This is systems engineering during architectural transition. You will: Redesign legacy workflows into AI-native systems Architect LLM-backed services integrated with production APIs Build multi-step agents that reason and take actions across internal systems Design hybrid architectures combining deterministic logic with probabilistic reasoning Implement model routing and costaware execution Build fallback and confidenceaware systems Own reliability, evaluation, and observability Ship safely in regulated, production environments You are not joining a finished AI-native machine. You are helping build it. What Youll Work On Transforming Existing Systems Replace manual review processes with AI agents Introduce structured-output-first services into legacy APIs Embed intelligence into lending, investing, and operations systems Migrate deterministic decision flows into adaptive models Building the AI Layer Tool-calling agent architectures RAG systems connected to internal data Orchestration pipelines across services Evaluation frameworks for probabilistic systems Monitoring for latency, cost, hallucination risk, and drift Compliance-aligned guardrails Raising the Engineering Standard Introduce AI-native development workflows Build internal leverage tools Reduce human dependency in repeatable processes Improve output without increasing headcount What You Bring Core Engineering 4+ years building production backend or full stack systems Strong Node.js and TypeScript experience Experience with APIs and distributed systems Experience building and shipping mobile applications (React Native or similar) Comfortable operating in complex, real-world systems AI Systems Experience You have shipped AI systems beyond prototypes. You understand: Structured outputs and tool calling Agent orchestration patterns RAG architectures Prompt versioning and evaluation Latency and cost trade-offs Debugging LLM behavior in production Infrastructure Cloud-native experience (AWS preferred) CI/CD and infrastructure-as-code Event-driven architectures Comfort working in regulated or data-sensitive environments Bonus Python for experimentation Experience migrating legacy systems Experience building internal AI platforms How You Operate You take ownership of outcomes You are comfortable replacing existing systems You move quickly without lowering standards You think in leverage, not effort You measure impact You hold your own work to a high bar You are not intimidated by ambiguity or transition. Performance Expectations You will be measured on: Successful migration of workflows to AI-native systems Production reliability and durability Measurable reductions in manual effort Intelligence lift across product and operations Engineering leverage created Standards raised across the team What This Role Is Not Not a prompt experimentation role Not AI theatre Not a low-ownership environment This is a transformation role. Why This Is Rare Most companies experimenting with AI are startups without legacy constraints. Very few engineers get to: Re-architect real revenue-generating systems Transform a public fintech company Replace human workflows with intelligent systems at scale Define what AI-native means inside a regulated environment This is that opportunity. Compensation Base salary: $115,000 to $150,000 CAD Compensation aligned with demonstrated AI capability, ownership, and impact. Next Steps If you are energized by transformation rather than intimidated by it, we encourage you to apply. We hire deliberately. Every addition to the team should raise the average. 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. Its 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. #J-18808-Ljbffr