ووظائف عرب

Mlops Engineer (relocation To Serbia)

Akvelonالقاهرة
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تفاصيل الوظيفة

Job Summary

This engagement is focused on building an internal AI platform that enables developers to ship AI-powered services efficiently. Scope includes model connectivity prompt testing and evaluation monitoring/observability and the underlying AI infrastructure layer.

The objective is to improve DevEx and reduce time-to-market for AI features.

Location: Serbia (relocation support available) Croatia Poland Portugal

Tasks

  • Build and operate the AI platform infrastructure enabling developers to ship LLM-based services faster.
  • Implement and maintain Kubernetes-based runtime environments (incl. AKS) for AI workloads.
  • Manage infrastructure as code with Terraform (modules environments CI/CD automation).
  • Support LLM workflows: RAG agents prompt experimentation evaluations and deployment patterns.
  • Integrate and operate tooling such as Azure AI Foundry LiteLLM Langfuse MLflow.
  • Orchestrate pipelines using Kubeflow Pipelines and/or Argo Workflows (build deploy evaluate).
  • Improve platform reliability and observability (monitoring logging tracing cost/perf signals).
  • Collaborate closely with developers to streamline DX (APIs templates docs golden paths automation).

Requirements

  • Strong hands-on experience with Kubernetes in production (preferably AKS).
  • Solid Terraform expertise (IaC best practices multi-env setups).
  • Practical experience supporting ML/LLM workloads in a platform or DevOps/MLOps context.
  • Proficiency in Python for automation scripting and supporting APIs/evaluation tooling.
  • Understanding of CI/CD release processes and production-grade operations.
  • Ability to work under tight timelines and deliver pragmatically.

Nice to Have

  • Experience building internal developer platforms or paved roads for engineering teams.
  • Familiarity with LLM evaluation frameworks prompt testing workflows and LLM observability.
  • Exposure to RAG architectures vector databases and agentic patterns.
  • Experience with Kubeflow Argo and ML lifecycle tooling.

Engagement Type

  • Long-term B2B contract.

Team

  • You will join a team of 5 with 3 AI Platform Engineers being added.

Location / Timezone

  • Remote work from Croatia Poland Portugal and Serbia.
  • European working hours.
  • Occasionally available for meetings up to 10:00 AM PST (US overlap).

Apply Now

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