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Remote mid-level senior backend role with broad skillset and strong employer brand attracts high competition.
Highly specialized in AI agent infrastructure, GPUs, datacenter and knowledge-graph systems, low transferability.
Explicit 5+ years, mandatory domain expertise, and infra stack requirements create strict technical filters.
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Design, build, and operate AI agent systems that diagnose, investigate, and remediate issues in one of the world’s largest GPU fleets.
Develop and maintain the distributed platform powering these agents, including knowledge graphs, retrieval, orchestration, and tooling.
Own services end-to-end including architecture, implementation, testing, deployment, observability, and production support.
5+ years experience building production backend, distributed, or infrastructure systems.
Strong systems design skills and full lifecycle ownership experience for significant systems.
Expertise in at least one: AI agent systems or orchestration, knowledge graphs, or search/retrieval/semantic search systems.
Experience with Kubernetes, GitOps (e.g., ArgoCD), infrastructure-as-code, cloud platforms, and backend engineering including API design and data modeling.
Experienced engineer capable of operating highly reliable large-scale production AI infrastructure and distributed systems.
Background or interest in AI agent technologies, autonomous infrastructure, or knowledge graph-driven systems.
Familiarity or ability to work with multiple programming languages (Go, TypeScript, Python, Rust) and integrating complex system ecosystems.