Senior AI Infra Engineer: Knowledge Graphs & Agents

Neura Market; San Francisco, Northern (CA, KY); Hybrid; USD 250,000 - 300,000; Full time

Benefits offered by this job

Equity

Remote-friendly

Job summary

Together AI is building the Infra Agent Systems and Core Agent Platform to run and continuously improve AI-powered infrastructure at scale. The role covers designing production backend systems, knowledge graphs, and orchestration for autonomous AI agents operating a vast GPU fleet.

You'll work across distributed systems, tooling, and observability to drive reliability and impact, with remote-friendly arrangements and competitive compensation.

Qualifications

• 5+ years building production backend or infra platforms.
• Strong systems design and ownership of large-scale services.
• Experience with Kubernetes, GitOps, and cloud platforms.
• Proficiency in Go, TypeScript, Python, or Rust.

Responsibilities

• Design and build production AI agent systems for diagnosing and remediating infrastructure issues.
• Develop distributed services, orchestration, knowledge graph, and retrieval systems.
• Create fleet intelligence by combining telemetry, state, and incidents for better decisions.
• Integrate with observability, incident management, ticketing, and internal systems via APIs.
• Own services end to end: architecture, development, testing, deployment, and ops.
• Improve agent performance through evaluations and feedback loops.
• Turn agent learnings into reliable software and automation.

Skills

Backend systems design

Distributed systems

Go / TypeScript / Python / Rust

Kubernetes

GitOps / ArgoCD

IaC / cloud platforms

Tools

Kubernetes

ArgoCD

Job description

Together AI is building the Infra Agent Systems and Core Agent Platform to run and continuously improve AI-powered infrastructure at scale. The role covers designing production backend systems, knowledge graphs, and orchestration for autonomous AI agents operating a vast GPU fleet.

You'll work across distributed systems, tooling, and observability to drive reliability and impact, with remote-friendly arrangements and competitive compensation.