AI DevOps Engineer
Posted 17 days ago · 55 applicants
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The role in plain words
- 2+ years of experience in DevOps / SRE / Platform Engineering in a production environment
- 1+ Experience with orchestration and workflow systems (Temporal, Airflow, LangGraph, or similar)
- Proficiency in Docker
- Proficiency in Kubernetes
- Proficiency in Cloud (AWS / GCP / Azure)
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for reference🚀 We are hiring at AM Consulting! Our client, a fast-growing, AI-first startup, is looking for an: AI Agent Orchestration DevOps Engineer
Building the infrastructure and orchestration that runs agents in production: Coordinating multi-agent workflows, runtime environments, CI/CD for agents, observability, and reliability at scale.
What you will do:
• Design and operate the orchestration layer that schedules and routes multi-agent workflows.
• Build runtime infrastructure, containers, autoscaling, and queues.
• Establish CI/CD pipelines for safe deployment of agents to production, complete with versioning and fast rollbacks.
• Implement observability, tracing, and evaluation (evals) for every agent execution.
• Manage costs and performance across the entire fleet.
What you need:
• 2+ years of experience in DevOps / SRE / Platform Engineering in a production environment. MUST
• 1+ Experience with orchestration and workflow systems (Temporal, Airflow, LangGraph, or similar). MUST
• Proficiency in Docker, Kubernetes, and Cloud (AWS / GCP / Azure). MUST
• CI/CD, infrastructure-as-code, and Git as an operational backbone. MUST
• An understanding of how LLM agents consume tools, context, and memory, and what makes them reliable in production. MUST
📍 Location: Tel Aviv, near HaKirya | 🏢 Hybrid: 4 days from the office | ⏰ Type: Full-time
Think this is a good fit for you or someone you know? Send over a CV and tag them 🙌
• https://career.amconsultingai.com/#job-6
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 2+ years of experience in DevOps / SRE / Platform Engineering in a production environment, 1+ Experience with orchestration and workflow systems (Temporal, Airflow, LangGraph, or similar), Proficiency in Docker, Proficiency in Kubernetes, Proficiency in Cloud (AWS / GCP / Azure)