Overview Help Transform a Real Fintech Company Into an AI-Native SystemOrion Digital Corp. operates real revenue-generating platforms across lending, investing, and payments.Key PointsWe are regulatedWe have production infrastructureWe have legacy systemsWe are redesigning the coreWe 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. It’s who redesigns systems around intelligence.Orion is restructuring around that reality.We AreReplacing manual workflows with agentsEmbedding intelligence into core systemsRedesigning deterministic architectures to incorporate probabilistic reasoningBuilding evaluation and reliability frameworks where none previously existedThis 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 systemsArchitect LLM-backed services integrated with production APIsBuild multi-step agents that reason and take actions across internal systemsDesign hybrid architectures combining deterministic logic with probabilistic reasoningImplement model routing and cost‑aware executionBuild fallback and confidence‑aware systemsOwn reliability, evaluation, and observabilityShip safely in regulated,



production environmentsYou are not joining a finished AI-native machine. You are helping build it.What You’ll Work On Transforming Existing SystemsReplace manual review processes with AI agentsIntroduce structured-output-first services into legacy APIsEmbed intelligence into lending, investing, and operations systemsMigrate deterministic decision flows into adaptive modelsBuilding the AI LayerTool-calling agent architecturesRAG systems connected to internal dataOrchestration pipelines across servicesEvaluation frameworks for probabilistic systemsMonitoring for latency, cost, hallucination risk, and driftCompliance-aligned guardrailsRaising the Engineering StandardIntroduce AI-native development workflowsBuild internal leverage toolsReduce human dependency in repeatable processesImprove output without increasing headcountWhat You Bring Core Engineering4+ years building production backend or full stack systemsStrong Node.Js and TypeScript experienceExperience with APIs and distributed systemsExperience building and shipping mobile applications (React Native or similar)Comfortable operating in complex,



real-world systemsAI Systems Experience You have shipped AI systems beyond prototypes.You understand:Structured outputs and tool callingAgent orchestration patternsRAG architecturesPrompt versioning and evaluationLatency and cost trade-offsDebugging LLM behavior in productionInfrastructureCloud-native experience (AWS preferred)CI/CD and infrastructure-as-codeEvent-driven architecturesComfort working in regulated or data-sensitive environmentsBonusPython for experimentationExperience migrating legacy systemsExperience building internal AI platformsHow You OperateYou take ownership of outcomesYou are comfortable replacing existing systemsYou move quickly without lowering standardsYou think in leverage, not effortYou measure impactYou hold your own work to a high barYou are not intimidated by ambiguity or transition.Performance Expectations You will be measured on:Successful migration of workflows to AI-native systemsProduction reliability and durabilityMeasurable reductions in manual effortIntelligence lift across product and operationsEngineering leverage createdStandards raised across the teamWhat This Role Is NotNot a prompt experimentation roleNot AI theatreNot a low-ownership environmentThis 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 systemsTransform a public fintech companyReplace human workflows with intelligent systems at scaleDefine what “AI-native” means inside a regulated environmentThis is that chance.Compensation Base salary: $115,000 to $150,000 CADCompensation 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 usALWAYS FULLY REMOTE WORK - Enjoy the flexibility of remote work, supported by necessary resourcesComprehensive Health and Wellness - Access medical, dental, and vision coverage plus a Health Spending

📌 Ai-Native Full Stack Engineer - C$115,000 - C$150,000 A Year - Remote (Vancouver)
🏢 Orion Digital
📍 Vancouver