Software Engineer, Infrastructure AI

Qualification

Hands-on experience building agentic AI systems: You have designed and built AI agents that autonomously plan, reason, and execute multi-step tasks using LLMs. This includes agent loop design, tool-use orchestration, and managing agent state and memory. This is a core requirement, not a nice-to-have. Experience with agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen, or custom agent frameworks) and LLM APIs (OpenAI, Anthropic, etc.). Experience with observability and monitoring systems (Grafana, Prometheus, Datadog, ELK stack) — either building them or building agents that interact with them. Experience with database administration or automation (schema migrations, query optimization, backup/recovery) — knowledge that helps build effective DBA agents. Understanding of SRE practices: incident response, runbooks, postmortems, SLOs/SLIs — the operational domain these agents will automate. A forward-thinking mindset about where AI agents are headed. You have opinions on agent reliability, safety, evaluation, and the path toward increasingly autonomous infrastructure systems. Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, p