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Forward Deployed Engineer - (East coast based)

CrewAI
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Hybrid (Remote/Hybrid)Full-timePosted 3mo ago

About the role

Customer-facing technical consultant responsible for implementing CrewAI solutions, designing client-specific architectures, and ensuring adoption and value delivery through technical leadership, integration, and collaboration with cross-functional teams.

Responsibilities

  • Lead the technical integration of CrewAI's products into customers’ systems, including API integrations, data pipelines, and custom workflows.
  • Develop and maintain robust, scalable solutions tailored to client requirements, leveraging Python and other relevant technologies.
  • Troubleshoot complex technical issues during implementation and provide timely resolutions, collaborating with internal engineering teams as needed.
  • Act as the primary technical point of contact, understanding customers’ business objectives and technical landscapes.
  • Translate client needs into technical specifications and solution designs, aligning with CrewAI's product capabilities.
  • Design and architect CrewAI-powered agent teams, assigning specialized roles and workflows tailored to client needs.
  • Conduct technical workshops and training sessions for customer teams to facilitate product understanding and adoption.
  • Collaborate with Customer Success Engineers and Support Engineers to ensure customers’ success and smooth operations.
  • Deploy, configure, and optimize CrewAI-based multi-agent systems in production environments.
  • Develop and integrate custom agents, tools, and processes using Python and CrewAI’s open-source libraries.
  • Monitor deployed solutions for performance, reliability, and business value, iterating on agent roles and workflows to adapt to evolving client needs.

Qualifications

  • Proven experience in a customer-facing technical role, such as a Solutions Engineer, Sales Engineer, or Technical Consultant.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field is preferred.
  • Strong proficiency in Python and experience with APIs and system integrations.
  • Familiarity with AI/ML concepts and technologies, including AI agent frameworks and LLMs.
  • Exceptional communication, presentation, and interpersonal skills.
  • Knowledge of workflow orchestration, multi-agent systems, or distributed computing.
  • Experience building GenAI solutions and knowledge of design patterns, RAG, and working with various databases (SQL, NoSQL) are a plus.
  • Contributions to open-source AI agent projects or experience with human-in-the-loop systems is a significant bonus.

Skills

Required:PythonAPIs and system integrationsAI/ML concepts and technologiesCommunication and stakeholder engagement
Nice to have:Workflow orchestration / multi-agent systemsGenAI solution design
Last updated Aug 2, 2026. Interested? Apply on the company site.
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