Senior Platform Engineer

Job summary

Build and improve the foundations of a business-focused AI platform, making AI integrations reliable, performant, and manageable in production. The role involves processing data from external systems in real time, routing streaming responses and language model requests across providers with fallback and cost controls, and monitoring and resolving production issues. It also includes making maintainable architectural decisions and improving service observability and reliability.

Qualifications

• At least 3 years of backend engineering experience, including production TypeScript application development.
• Production experience with Docker and Kubernetes, alongside hands-on application coding.
• Strong system design skills and ability to reason about performance, latency, and cost trade-offs.
• Working knowledge of PostgreSQL, APIs, queues, and caching.
• Experience improving platform reliability and performance under production load, including observability, instrumentation, and root-cause analysis.
• Experience with streaming responses or routing language model requests across providers, including fallback and cost logic.

Responsibilities

• Build and integrate AI product capabilities that process data from external sources and multiple systems in real time.
• Route streaming responses and language model requests across providers, including fallback and cost-management logic.
• Monitor latency, costs, and error rates to prevent reliability and performance issues.
• Make architectural decisions that improve system quality while keeping solutions simple and maintainable.
• Instrument services, investigate production issues, and implement fixes that address root causes.

Skills

Languages

Industry

Relocation