Overview The Backend Engineer on the AI Platform team plays a critical role in building and evolving the backend systems that power internal products, customer-facing capabilities, AI-enabled workflows, and operational decision-making across the organization. This role is responsible for designing, building, testing, and operating reliable, scalable, and flexible services that support a wide range of internal and external use cases.
Overview The Backend Engineer on the AI Platform team plays a critical role in building and evolving the backend systems that power internal products, customer-facing capabilities, AI-enabled workflows, and operational decision-making across the organization. This role is responsible for designing, building, testing, and operating reliable, scalable, and flexible services that support a wide range of internal and external use cases.
This role contributes to the development and evolution of core backend and distributed systems capabilities, including service-oriented architectures, APIs, workflow orchestration, event-driven integrations, identity and permissions, operational tooling, and system interfaces that enable product, data, and AI teams to move quickly. Success requires strong technical depth, sound systems thinking, and the ability to build dependable solutions in a cloud-based, regulated, high-stakes environment.
The Backend Engineer is expected to operate effectively in a modern engineering workplace, using automation, observability, CI/CD, testing, and infrastructure-as-code practices to deploy, manage, and improve production services. In parallel, this individual will help enable downstream product capabilities, operational workflows, reporting, and AI systems by ensuring that backend services are trustworthy, maintainable, and performant.




This is a fully remote position that offers a competitive salary range of $140,000 to $240,000 USD, plus an annual bonus. You'll also receive our excellent benefits package, which includes medical coverage starting on day one and a company-matched 401(k). Compensation may vary based on experience, location, and other job-related factors.
Responsibilities Scale High-Performance Distributed Systems Design, build, and maintain production backend services for a wide variety of internal and external use cases, including product workflows, operational tools, integrations, APIs, and AI-enabled applications
Develop well-structured APIs, domain models, service interfaces, and business logic that are easy to understand, test, operate, and extend
Build scalable backend workflows that support complex business processes across loans, documents, accounts, users, permissions, vendors, and operational decision making
Ensure backend services are reliable, testable, observable, and resilient as business needs, data volumes, and product surfaces evolve
Systems Architecture & Integration Contribute to service architectures that support transactional, operational, analytical, and AI-driven workloads across production environments
Integrate with internal systems, third-party platforms, vendor APIs, databases, files, message queues, event streams, and cloud services
Design patterns for service boundaries, idempotency, consistency,



retries, failure handling, schema evolution, versioning, and backward compatibility
Help define practical architecture standards that balance speed, simplicity, reliability, security, and long-term maintainability
Cloud Deployment & Operations Deploy, operate, and improve backend services on major cloud platforms such as AWS, GCP, or Azure
Use infrastructure-as-code, CI/CD, automated testing, and deployment automation to improve release speed, consistency, and reliability
Monitor production services using logging, tracing, metrics, alerting, and observability tools to proactively identify and resolve issues
Support secure, resilient, and cost-conscious operation of cloud-based backend infrastructure and application services
Reliability, Security & Compliance Build systems with strong operational discipline, including attention to latency, availability, scalability, correctness, incident response, and production support
Implement authentication, authorization, permissions, audit logging, data protection, and secure service-to-service communication patterns
Establish and maintain standards for API documentation, service ownership, runbooks, operational metrics, change management, and production readiness
Contribute to practices that support security, privacy, auditability, compliance, and risk management in a regulated environment
Cross-Functional Collaboration Partner closely with Product, Engineering, Data, AI, Design, Operations, and business stakeholders to understand workflows, user needs, constraints, and delivery priorities
Translate business and operational requirements into clean, scalable, maintainable, and secure backend solutions
Support downstream

📌 Backend engineer (Toronto)
🏢 Bayview Asset Management
📍 Toronto