Overview The Forward Deployed Engineer (FDE) at CrewAI is a pivotal, customer-facing role that bridges the gap between our cutting-edge AI technology and our clients' specific needs. We are looking for a hybrid technical expert and strategic consultant who can not only implement our solutions but also understand the business context to ensure successful integration, adoption, and value delivery. Key Responsibilities Technical Implementation & Integration
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 your expertise in Python and other relevant technologies
Troubleshoot complex technical issues during implementation and provide timely resolutions, collaborating with our internal engineering teams as needed
Client Engagement & Solution Design
Act as the primary technical point of contact, thoroughly understanding the 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
Deployment & Optimization
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
Requirements Qualifications & Desired Skills
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
Team Collaboration You will work closely with our Product, Engineering, Sales, and Customer Success teams to provide client feedback, resolve technical issues, support pre-sales activities, and ensure overall client satisfaction. Performance Metrics Your success will be measured by key indicators, including:
Successful project implementations and high client satisfaction
Timeliness and effectiveness of technical support and issue resolution
The quality of your solution designs and documentation
Your contribution to product improvements through actionable client feedback