Backend Engineer – Platform

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

📋 Description

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

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

• Take ownership of services from inception and implementation through to testing, deployment, reliability, and ongoing support.

• Collaborate effectively within a client-facing consulting environment.

⛳️ Requirements

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

• Strong software engineering capabilities, with a focus on creating reliable, testable, and maintainable services.

• Familiarity with AI gateways, orchestration, entitlements, tenancy, metering, quotas, or related platform features.

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

• Experience with multi-tenant systems, ensuring tenant isolation, defining service boundaries, and implementing platform-level enforcement patterns.

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

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

• Experience in owning services throughout the entire lifecycle, including design, development, testing, deployment, monitoring, and support.

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

• Pragmatic approach with the capacity to deliver substantial value promptly while upholding engineering quality.

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

• Familiarity 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 practices related to the AI development lifecycle.

• Background in event-sourced metering, quotas, entitlements, or platform services related to billing.

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

• Proficient in using AI-assisted development tools while maintaining rigorous review, testing, and architectural standards.

🏝️ Benefits

• Flexible remote work setup.

• Permanent direct-hire employee position.

• Chance to collaborate with a global multi-billion dollar software conglomerate.