Backend Engineer – Platform

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

📋 Description

• Assist an external software development organization as a member of Inviso’s delivery team.

• Collaborate closely with client product, engineering, data, and platform stakeholders.

• Design, develop, and manage core services that drive an enterprise AI platform.

• Contribute to the AI gateway, orchestration layer, entitlements, tenancy model, data access patterns, integration frameworks, APIs, and platform services.

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

• Monitor and provide support for production services.

• Travel occasionally as required by client needs.

⛳️ Requirements

• Proven experience in building and operating production backend, API, or distributed platform services.

• Strong software engineering capabilities with a background in designing reliable, testable, and maintainable services.

• Familiarity with AI gateway, orchestration, entitlements, tenancy, metering, quotas, or similar platform features.

• Competence in designing APIs and user experiences for both internal and external consumers.

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

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

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

• Experience overseeing services through design, development, testing, deployment, monitoring, and support phases.

• Excellent communication and collaboration skills suited for client-facing consulting environments.

• Pragmatic approach with the ability to deliver significant value quickly while upholding engineering quality.

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

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

• Knowledge of AI, LLM, RAG, agentic workflows, tool/function calling, MCP, A2A, or practices within the AI development lifecycle.

• Familiarity with event-sourced metering, quotas, entitlements, or billing-related platform services.

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

• Experience using AI-assisted development tools while maintaining rigorous review, testing, and architecture discipline.

🏝️ Benefits

• Annual training allowance of $2,000.

• Paid time off.

• Paid holidays.

• Additional benefits.