Forward Deployed Engineer - (East coast based)
AI summary of the role
Customer-facing technical role bridging CrewAI's multi-agent orchestration platform with enterprise client needs.
What you’ll do
- Lead technical integration of CrewAI products into customer systems, including API integrations, data pipelines, and custom workflows.
- Design and architect CrewAI-powered agent teams with specialized roles and workflows tailored to client needs.
- Deploy, configure, and optimize CrewAI-based multi-agent systems in production environments.
- Act as primary technical point of contact, translating client needs into technical specifications and solution designs.
What you’ll bring
- Proven experience in a customer-facing technical role (Solutions Engineer, Sales Engineer, or Technical Consultant).
- 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.
Technologies
Python · APIs · AI agent frameworks · LLMs · workflow orchestration · multi-agent systems · distributed computing · GenAI · RAG · SQL · NoSQL
About Crew (CrewAI)
Open-source multi-agent orchestration framework plus CrewAI Enterprise, a managed platform letting Fortune 500 teams deploy collaborating AI agents for complex workflows.
Series A
Source and classification
Implementation & delivery · Evidence for this classification:
Description 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
More from the job description
Description 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 c [... source excerpt omitted ...] 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, Eng [... source excerpt omitted ...] arious 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
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