Remote Backend Platform Engineer for AI APIs Multitenancy

Inviso Corporation; California (MO); Hybrid; CAD 110,000 - 150,000; Full time

Benefits offered by this job

Annual training allowance $2,000

Paid time off

Paid holidays

Benefits

Job summary

Inviso Corporation is seeking a Backend Platform Engineer for a fully remote, client-facing role. You will design, build, and operate core services powering an enterprise AI platform, collaborating with client product, engineering, data, and platform stakeholders.

The Engineer owns services end-to-end, from design and implementation through testing, deployment, reliability, and support. A strong backend background and experience with platform APIs and tenant isolation are required.

Qualifications

• Experience building and operating production backend, API, or distributed platform services.
• Strong backend engineering, reliable, testable, maintainable services.
• Experience with AI gateway, orchestration, entitlements, tenancy, metering, quotas, or similar platform capabilities.
• Design APIs and developer experiences for internal and external consumers.
• Experience with multi-tenant systems and platform-level enforcement patterns.
• Experience building integration frameworks and data access on-ramps.
• Understanding retries, partial failure, idempotency, back-pressure, failure modes.
• Experience owning services end-to-end (design to support).
• Strong client-facing communication.

Responsibilities

• Design, build, test, deploy, and operate core platform services.
• Own services end-to-end from design to production support.
• Collaborate with client product, engineering, data, and platform stakeholders.
• Deliver reliable APIs and developer experiences.

Skills

Backend engineering

API design

Distributed systems

Client-facing consulting

Multi-tenant systems

Reliability & testing

Dev collaboration

Tools

C#

Python

Go

Job description

Inviso Corporation is seeking a Backend Platform Engineer for a fully remote, client-facing role. You will design, build, and operate core services powering an enterprise AI platform, collaborating with client product, engineering, data, and platform stakeholders.

The Engineer owns services end-to-end, from design and implementation through testing, deployment, reliability, and support. A strong backend background and experience with platform APIs and tenant isolation are required.