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Senior Software Engineer — Infra Agent Systems

Together AI· Engineering
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Hybrid (Amsterdam)full-timePosted 1mo ago

About the role

Senior backend-focused role building production AI agent systems and the platform that powers them, aimed at diagnosing and remediating issues across a large GPU fleet. Hybrid in Amsterdam.

Responsibilities

  • Design and build production AI agent systems that diagnose, investigate, and remediate infrastructure issues across one of the world’s largest GPU fleets.
  • Build the distributed services, orchestration framework, knowledge graph, and retrieval systems that power infrastructure agents.
  • Develop fleet intelligence systems that combine telemetry, infrastructure state, operational knowledge, and historical incidents to help agents make better decisions.
  • Integrate with observability, incident management, ticketing, fleet inventory, source control, chat, and internal infrastructure systems through well-designed APIs.
  • Own services end to end, including architecture, implementation, testing, deployment, observability, and production operations.
  • Improve agent performance through evaluations, retrieval improvements, better tools, and production feedback loops.
  • Turn what agents learn in production into reliable, reviewed software and automation.

Qualifications

  • 5+ years of experience building production backend systems, distributed systems, or infrastructure platforms.
  • Strong systems design skills and experience owning significant systems from design through production.
  • Depth in at least one of the following: AI agent systems, orchestration, tool use, evaluation, or grounding; Knowledge graphs or graph data modeling; Search, retrieval, ranking, RAG, or semantic search systems.
  • Strong backend engineering experience, including API design, service boundaries, data modeling, and integrations across complex systems.
  • Experience with Kubernetes, GitOps such as ArgoCD, infrastructure-as-code, and cloud platforms.
  • Comfortable working across languages such as Go, TypeScript, Python, or Rust.

Skills

Required:Backend engineeringSystem designKubernetesProgramming languages
Last updated Sep 9, 2026. Interested? Apply on the company site.

About Together AI

The AI Acceleration Cloud - Fast Inference, Fine-Tuning & Training

Run and fine-tune generative AI models with simple APIs and scalable GPU clusters. Train & deploy at scale on The AI Acceleration Cloud.

AI native cloudFine-TuningGPU clustersInferenceTrainingai-infrastructure-and-developmentbrex-fastest-growing-2025liquid-ai-recruiting-target
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