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CrewAI

Open-source multi-agent automation platform

Forward Deployed Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • Proven experience in a customer-facing technical role, such as a Solutions Engineer, Sales Engineer, or Technical Consultant.
  • A bachelor's degree in Computer Science, Engineering, or a related technical field is preferred.
  • Strong proficiency in Python and experience with application programming interfaces and system integrations.
  • Familiarity with artificial intelligence and machine learning concepts and technologies, including AI agent frameworks and large language models.
  • Knowledge of workflow orchestration, multi-agent systems, or distributed computing.
  • Experience building generative AI solutions and knowledge of design patterns, retrieval-augmented generation, and working with various databases, including SQL and NoSQL, are a plus.
  • Contributions to open-source AI agent projects or experience with human-in-the-loop systems are a significant bonus.

Responsibilities

  • Lead the technical integration of CrewAI products into customers’ systems, including application programming interface 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, thoroughly understanding customers’ business objectives and technical landscapes.
  • Translate client needs into technical specifications and solution designs, ensuring alignment 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, rapidly iterating on agent roles and workflows to adapt to evolving client needs.
  • Work closely with Product, Engineering, Sales, and Customer Success teams to provide client feedback, resolve technical issues, support pre-sales activities, and ensure overall client satisfaction.
  • Deliver successful project implementations and high client satisfaction, provide timely and effective technical support and issue resolution, produce high-quality solution designs and documentation, and contribute actionable client feedback to product improvements.

About the Company

CrewAI

Open-source multi-agent automation platform

CrewAI provides a multi-agent automation platform that lets organizations design, deploy, and manage teams of AI agents to automate complex workflows. It uses an open-source framework built on large language models to enable collaborative agent teams that tackle tasks end-to-end. The platform tracks performance with metrics, real-time dashboards, alerts, and controls for observability and governance, with use cases like report summarization and employee onboarding, and an enterprise edition offering enhanced security and scalability. Its goal is to become a leading platform for AI-driven automation in businesses by enabling reliable, auditable, and controllable automation across complex processes, differentiating itself through multi-agent orchestration and governance tools.

Company size
51-200
Company stage
Series A
Total funding
$12.5M
Headquarters
São Paulo, Brazil
Founded
2023

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