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crewAI

Forward Deployed Engineer

Remote Posted April 09, 2026

Role 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 ResponsibilitiesTechnical 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.

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.

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