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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and operating backend services, APIs, and multi-tenant systems while ensuring reliability and maintainability. Proficient in collaborating within client-facing environments and delivering high-quality solutions in AI platform engineering.
Highest-signal resume keywords
Backend Service DevelopmentAPI Design and DevelopmentMulti-Tenant System ArchitectureIntegration Frameworks and Data AccessAI Platform Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
C#PythonGoAPI GatewaysOrchestration SystemsEvent-Driven SystemsService DesignTesting and DeploymentOperational ReliabilityData Governance
Soft Skills
Strong CommunicationCollaboration SkillsPragmatic Mindset
Tools & Technologies
AI GatewayIntegration FrameworksEvent-Sourced MeteringAI-Assisted Development Tools
Industry Keywords
Enterprise AI PlatformTenant IsolationService BoundariesOperational Failure ModesAI Development Lifecycle
Tech Stack
Tools & technologiesPythonGo
About the role
Key responsibilities & impact- 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
- Design reliable, testable, and maintainable backend and platform services
- Design APIs and developer experiences for internal and external consumers
- Build multi-tenant systems with tenant isolation, service boundaries, and platform-level enforcement
- Build integration frameworks, connector patterns, governed data access, and reliable data on-ramps
- Manage retries, partial failure, consistency, idempotency, back-pressure, and operational failure modes
- Collaborate in client-facing consulting environments
Requirements
What you’ll need- 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 is desired
- Experience with API gateways, orchestration systems, connector frameworks, event-driven systems, or platform engineering is desired
- Experience with AI, LLM, RAG, agentic workflows, tool/function calling, MCP, A2A, or AI development lifecycle practices is desired
- Experience with event-sourced metering, quotas, entitlements, or billing-related platform services is desired
- Experience building enterprise-scale software used by multiple products, customers, or internal teams is desired
- Experience using AI-assisted development tools while maintaining strong review, testing, and architecture discipline is desired
Benefits
Comp & perks- Remote work arrangement
- Permanent direct-hire employee position
- Opportunity to work on a global enterprise AI platform