Backend Engineer

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

📋 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, build, 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 from design and implementation through testing, deployment, reliability, and support.

• Oversee and support 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 skills in designing reliable, testable, and maintainable services.

• Experience with AI gateways, orchestration, entitlements, tenancy, metering, quotas, or similar platform functionalities.

• Capability to design APIs and developer experiences for both internal and external users.

• Familiarity with multi-tenant systems, tenant isolation, service boundaries, and platform-level enforcement patterns.

• Experience in creating integration frameworks, connector patterns, governed data access, or reliable data on-ramps.

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

• Proven experience in managing services through design, development, testing, deployment, monitoring, and support.

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

• Pragmatic mindset with the ability to deliver meaningful value swiftly 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.

• Familiarity 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.

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

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

🏝️ Benefits

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) plan with company matching.

• Annual training reimbursement.

• Paid time off.

• Paid holidays.

• Additional perks aimed at supporting well-being and long-term success.