Наши требования
Education: Bachelor’s degree in Computer Science or a related technical field
Experience: 7+ years of experience building distributed systems, high-throughput APIs, or backend infrastructure for AI/ML products
Technical Stack: Deep proficiency in Go or Java (for systems) and Python (for AI orchestration)
Systems Thinking: Strong understanding of database internals, distributed state management, and cloud-native architecture (Kubernetes, FoundationDB, etc.)
Domain Expertise: Familiarity with the "plumbing" of AI: vector indices, agent platforms, and building scalable data pipelines
Experience in a customer-facing technical role — you have explained a hard failure to a frustrated external audience and been believed, you can produce both the internal analysis and the customer-safe version
Product instinct — you can judge whether one customer's problem is bespoke or a platform gap worth fixing for everyone. This is the core judgment call
Cross-layer debugging — tracing a request across services and root-causing in unfamiliar code from logs and telemetry, not guesswork
Eval frameworks for LLM/agent systems — defining quality metrics and using evals to improve quality systematically over time
Comfort with ambiguity on open-ended, externally-driven problems