Backend / Platform Engineer - Poland

Inviso; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Inviso is assisting a global software client by recruiting a Backend / Platform Engineer for a fully remote, direct-hire role. You will help design, build, and operate the core services powering an enterprise AI platform, including gateway, orchestration, entitlements, tenancy, data access patterns, and APIs.

The ideal candidate has deep experience with production backend services, distributed systems, APIs, and platform-level design, with a focus on reliability, scalability, and client-facing

Qualifications

• Production backend experience building and operating services.
• Strong software engineering skills for reliable, testable, maintainable services.
• Experience with AI gateway, orchestration, entitlements, tenancy, metering, quotas, or similar platform capabilities.
• Ability to design APIs and developer experiences for internal and external consumers.
• Experience with multi-tenant systems, tenant isolation, service boundaries, and platform-level enforcement patterns.

Responsibilities

• Design, build, and operate core backend/ platform services end to end.
• Contribute to API design, orchestration, and platform APIs for internal and external consumers.
• Own services through design, development, testing, deployment, monitoring, and support.

Skills

Backend development

API design

Distributed systems

Multi-tenant architecture

Reliability engineering

Client-facing

Platform APIs

AI gateway

Job description

Inviso is partnering with one of our clients to find an experienced Backend / Platform Engineer to join their team working remotely. Inviso is managing the recruitment and placement process for this opportunity. This is a remote, direct-hire permanent employee position for our client that is a global multi-billion dollar software conglomerate.

The Backend / Platform Engineer is responsible for designing, building, and operating the core services that power an enterprise AI platform. This role contributes to the AI gateway, orchestration layer, entitlements, tenancy model, data access patterns, integration frameworks, APIs, and platform services that product teams and customers depend on.

The Engineer owns services end to end, from design and implementation through testing, deployment, reliability, and support. The ideal candidate is a strong backend engineer who understands distributed systems, failure modes, clean boundaries, platform APIs, and pragmatic trade-offs.

Experience & Skills Required

• Experience building and operating production backend, API, or distributed platform services.
• Strong software engineering skills with experience designing reliable, testable, and maintainable services.
• Experience with AI gateway, orchestration, entitlements, tenancy, metering, quotas, or similar platform capabilities.
• Ability to design APIs and developer experiences for internal and external consumers.
• Experience with multi-tenant systems, tenant isolation, service boundaries, and platform-level enforcement patterns.
• Experience building integration frameworks, connector patterns, governed data access, or reliable data on-ramps.
• Strong understanding of retries, partial failure, consistency, idempotency, back-pressure, and operational failure modes.
• Experience owning services through design, development, testing, deployment, monitoring, and support.
• Strong communication and collaboration skills for client-facing consulting environments.
• Pragmatic mindset with the ability to ship meaningful value quickly while maintaining engineering quality.

Desired Qualifications

• Experience with C#, Python, Go, or similar backend languages.
• Experience with API gateways, orchestration systems, connector frameworks, event-driven systems, or platform engineering.
• Experience with AI, LLM, RAG, agentic workflows, tool/function calling, MCP, A2A, or AI development lifecycle practices.
• Experience with event-sourced metering, quotas, entitlements, or billing-related platform services.
• Experience building enterprise-scale software used by multiple products, customers, or internal teams.
• Experience using AI-assisted development tools while maintaining strong review, testing, and architecture discipline.