Sr. Software Developer - Backend (AI Platform)

Range•Toronto, ON

15h•Hybrid

About The Position

TripArc is building an AI-powered vacations booking platform that will put 10,000+ pre-packaged, instantly bookable itineraries in the hands of North American travel advisors. The work spans both greenfield and existing platforms in equal measure. You'll be building new Angular MFEs, AI agent pipelines, and integrating with MongoDB-backed catalog infrastructure for the Vacations Platform, while extending and integrating with the mature ADX booking platform and the new Product Builder that sits alongside it. We need people who can hold both contexts without losing altitude. Whichever track you're in, you own your work end-to-end: design through deployment, in close collaboration with Product, QA, and your pod. We expect every developer on this team to use AI coding tools — GitHub Copilot, Claude, Cursor, whatever fits your flow — as a standard part of how you develop. Not as an experiment, and not as a replacement for engineering judgment. We move faster because of these tools, and we ship with confidence because of the quality gates, code review culture, and testing discipline that sit alongside them. If you've figured out how to get real leverage from AI-assisted development without cutting corners on quality, you'll fit right in here.

Requirements

C# / .NET Core (5+ years)
SQL Server (complex schemas, query optimization)
MongoDB Atlas — schema design, aggregation pipelines, Atlas Search
RESTful API design, Entity Framework
Azure Service Bus / NServiceBus
Comfortable designing event-driven integrations
Confident in both SQL Server and MongoDB Atlas
Think carefully about API design and what it means for a service to be called thousands of times a day.

Nice To Haves

AI pipeline or agent framework experience (LangChain, Semantic Kernel, or similar) is a strong plus

Responsibilities

Building the Chorus AI agent system — 8 agents across Generation and QA pipelines — that auto-generates, validates, and enriches itinerary content at scale.
Building Advisor-Facing MFEs: Search & Browse, and Itinerary Detail experiences advisors use to find, evaluate, and customize pre-built trips.
Building the Trip & Bundle Workflows: Bundle Manager MFE and Make Bundle Payable microservice within TSP — turning an itinerary into a structured, transactable trip with embedded pricing and commission logic.
Working within and extending the existing ADX platform: a mature .NET system that's the daily workhorse for the advisor network.
Designing event-driven integrations with Azure Service Bus and NServiceBus.
Designing API's that can be called thousands of times a day.
Owning work end-to-end: design through deployment, in close collaboration with Product, QA, and your pod.