Key skills
PythonAIKafkaAzureService BusPerformance OptimizationSaaS
About this role
Terzo is an AI-native enterprise data platform company that transforms complex, unstructured data into actionable intelligence. They are seeking a Sr/Staff Engineer to design and build core infrastructure for their Agent Platform, focusing on platform APIs and orchestration layers that enable autonomous intelligence.
Responsibilities:
- Design and build the core infrastructure that makes this possible
- Own the platform APIs, orchestration layers, and runtime systems that power Terzo's AI agents, NirvanAI search, and the marketplace where customers deploy autonomous intelligence against their most critical commercial data
- Build services that will be the substrate every AI-powered experience at Terzo runs on
Requirements:
- 5+ years building backend systems or developer platforms in distributed, cloud-native environments
- Experience building platforms where AI capabilities are first-class primitives, not bolted-on features
- Strong API design instincts for services processing highly sensitive enterprise data
- Solid understanding of relational and non-relational data stores, data modeling, and performance optimization
- Strong backend development especially Python
- Comfortable making architectural decisions with incomplete information
- Strong product intuition where you understand why something is being built, not just how
- High ownership mentality where you treat system reliability and customer outcomes as your responsibility
- Experience building agent orchestration systems, tool-use runtimes, or autonomous reasoning infrastructure in production
- Prior work on workflow engines, state machines, or event-driven systems coordinating long-running, multi-step processes
- Background in B2B SaaS, enterprise data platforms, or financial systems where correctness and auditability are non-negotiable
- Exposure to graph databases, knowledge graph systems, or commercial ontology modeling
- Familiarity with streaming technologies (Kafka, Azure Service Bus) or distributed compute frameworks (Ray)
- Prior work at a high-growth startup where you built platform foundations other teams shipped on top of