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CrewAI

Forward Deployed Engineer

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Description

You will integrate products into customer systems, build scalable Python-based solutions, and troubleshoot implementation issues. You will translate customer needs into solution designs, architect agent teams, lead technical workshops, deploy and optimize multi-agent systems, and monitor their reliability and business value.

Responsibilities

  • Lead technical integrations, including APIs, data pipelines, and custom workflows
  • Develop and maintain scalable solutions tailored to customer requirements
  • Troubleshoot implementation issues and collaborate with engineering teams on resolutions
  • Serve as the primary technical contact for customers
  • Translate customer needs into technical specifications and solution designs
  • Design and architect agent teams and workflows
  • Conduct technical workshops and training sessions
  • Collaborate with Customer Success Engineers and Support Engineers
  • Deploy, configure, and optimize multi-agent systems in production
  • Develop custom agents, tools, and processes using Python and open-source libraries
  • Monitor deployed solutions and iterate on agent roles and workflows
  • Provide customer feedback, resolve technical issues, and support pre-sales activities

Requirements

  • Experience in a customer-facing technical role such as Solutions Engineer, Sales Engineer, or Technical Consultant
  • Proficiency in Python
  • Experience with APIs and system integrations
  • Knowledge of AI and machine-learning concepts, agent frameworks, and LLMs
  • Communication, presentation, and interpersonal skills
  • Knowledge of workflow orchestration, multi-agent systems, or distributed computing

Skills

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See also

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