Backend Engineer – Platform

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, create, and manage essential services that drive an enterprise AI platform.

• Play a pivotal role in the AI gateway, orchestration layer, entitlements, tenancy model, data access patterns, integration frameworks, APIs, and platform services.

• Take full ownership of services from initial design and implementation to testing, deployment, reliability, and support.

• Develop dependable backend services, distributed systems, platform APIs, and well-defined service boundaries.

• Provide support to product teams and clients relying on the platform services.

⛳️ Requirements

• Proven experience in constructing and managing production backend, API, or distributed platform services.

• Strong software engineering capabilities with a focus on designing reliable, testable, and maintainable services.

• Familiarity with AI gateways, orchestration, entitlements, tenancy, metering, quotas, or comparable platform functionalities.

• Proficient in designing APIs and developer experiences for both internal and external users.

• Experience with multi-tenant systems, tenant isolation, service boundaries, and platform-level enforcement strategies.

• Background in building integration frameworks, connector patterns, governed data access, or robust data on-ramps.

• Comprehensive understanding of retries, partial failures, consistency, idempotency, back-pressure, and operational failure modes.

• Experience in taking ownership of services through design, development, testing, deployment, monitoring, and support.

• Strong communication and collaboration skills suitable for client-facing consulting environments.

• A pragmatic approach with the capacity to deliver significant value rapidly while upholding engineering standards.

• Proficiency in C#, Python, Go, or similar backend programming languages.

• Familiarity with API gateways, orchestration systems, connector frameworks, event-driven architectures, or platform engineering.

• Experience with AI, LLM, RAG, agentic workflows, tool/function calling, MCP, A2A, or practices in the AI development lifecycle.

• Knowledge of event-sourced metering, quotas, entitlements, or billing-related platform services.

• Experience in building enterprise-scale software utilized by multiple products, customers, or internal teams.

• Experience with AI-assisted development tools while maintaining a strong emphasis on review, testing, and architectural discipline.

🏝️ Benefits

• Flexible remote work options.

• Permanent employment status.

• Direct-hire opportunity.