Backend Engineer
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Job Description
Backend/platform engineer building and operating core services for Inviso’s enterprise AI consulting platform. Designing APIs, orchestration, tenancy, integrations, and reliable distributed systems for clients.
Responsibilities:
- Support an external software development organization as part of Inviso’s delivery team
- Work closely with client product, engineering, data, and platform stakeholders
- Design, build, and operate core services powering an enterprise AI platform
- Contribute to the AI gateway, orchestration layer, entitlements, tenancy model, data access patterns, integration frameworks, APIs, and platform services
- Own services end to end from design and implementation through testing, deployment, reliability, and support
- Maintain monitoring and operational support for owned services
- Travel occasionally due to client needs
Requirements:
- 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
- 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
Benefits:
- Annual $2,000 training allowance
- Paid time off
- Paid holidays
- Other benefits
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