חזרה

AI Platform Engineer

ActiveFence
שכר לא צויןRamat Gan, IL, Ramat Gan, Israel, מרחוקסניורמשרה מלאה
משרה חיצונית, ההגשה באתר החברהאושר שהמשרה פתוחה לפני 11 שעות

Build a new AI platform for deploying and managing generative AI models, workflows, and evaluation. You will develop the infrastructure and tools that help research teams move AI capabilities into production.

מה תעשו

  • Build and maintain CI/CD pipelines for GenAI systems, models, agents, and MCP clients and servers.
  • Develop and deploy AI solutions, agentic frameworks, command-line tools, and interactive notebooks.
  • Build data pipelines and SQL databases for large-scale data handling, collection, and curation.
  • Integrate generative AI research into production and develop automated evaluation frameworks.
  • Integrate dockerized environments into internal training frameworks and optimize concurrency and throughput.
  • Deploy GenAI models from repositories such as HuggingFace on AWS and automate prompt generation, labeling, and response evaluation.

דרישות

  • B.Sc. in Computer Science, Computer Engineering, or a related field, or equivalent hands-on experience.
  • 5+ years delivering large-scale, high-performance systems on AWS, with data pipelines and AI workflows in production.
  • Experience with Python, shell scripting, IaC, and CI/CD pipelines.
  • Strong understanding of Linux systems, networking, and distributed system design.
  • Hands-on experience deploying generative AI models and MCP clients or servers in production workflows.

יתרון

  • M.Sc. in Computer Science, Computer Engineering, or a related field.
  • Experience with cluster management or HPC scheduling tools such as Slurm.
  • Knowledge of Prometheus and Grafana.
  • Experience with FinOps, infrastructure security, configuration management, or the A2A protocol.

תנאי סף

  • 5+ years of experience delivering large-scale systems on AWS
  • B.Sc. in Computer Science, Computer Engineering, or a related field, or equivalent hands-on experience
  • Hands-on experience deploying generative AI models in production
  • Hands-on experience deploying MCP clients or servers
PythonShell scriptingAWSCI/CDGenerative AIMCPSQLLinux