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Intetics

980 | GenAI On-Prem Solution Support Engineer

Reposted 13 Days Ago
Be an Early Applicant
Remote
3 Locations
Mid level
Remote
3 Locations
Mid level
The GenAI On-Prem Solution Support Engineer maintains and supports on-premise infrastructure, deploys GenAI solutions, troubleshoots Python scripts, and manages containerized environments, ensuring stable deployments.
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Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a GenAI On-Prem Solution Support Engineer to join its innovative team.

Responsibilities:

  • Maintain and support on-premise infrastructure (test machines, servers, networking equipment) used for GenAI solution deployment.
  • Deploy, configure, and support the GenAI-based test automation solution (including model APIs, integration pipelines, and supporting services).
  • Troubleshoot and maintain Python-based scripts and solution components using LLM/GenAI.
  • Collaborate with remote R&D team on debugging incidents, logs analysis, and improvements.
  • Manage containerized environments (Docker, Kubernetes) and ensure stable deployments.
  • Integrate solution components into CI/CD pipelines (Azure DevOps).
  • Provide first-line support for issues related to AI workflows, data pipelines, and test execution.

Requirements
  • Proven experience in IT support / system administration / field engineering.
  • Strong knowledge of Python (support, debugging, small fixes)
  • Familiarity with GenAI/LLM-based solutions (deployment, configuration, monitoring).
  • Hands-on experience with containerization (Docker, Kubernetes) in production/test environments.
  • Understanding of CI/CD processes and tools (Azure DevOps, Jenkins, GitLab CI or similar).
  • Good skills in hardware maintenance (servers, networks, test benches).
  • Languages: German B1–B2 for local client interaction; English B2+ for technical/business communication.

Nice to have:

  • Work experience in engineering or R&D projects.
  • Knowledge of monitoring tools for ML/AI pipelines (MLflow, Prometheus, Grafana).

Top Skills

Azure Devops
Ci/Cd
Docker
Kubernetes
Python

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