Forward Deployed Engineer

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 expertise in Python and other relevant technologies.
• Troubleshoot complex technical issues during implementation and provide timely resolutions, collaborating with internal engineering teams.

Client Engagement & Solution Design

• Act as the primary technical point of contact, understanding customers’ business objectives and technical landscapes.
• Translate client needs into technical specifications and solution designs aligned with CrewAI's product capabilities.
• Design and architect CrewAI-powered agent teams with specialized roles and workflows.
• Conduct technical workshops and training sessions for customer teams.

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, iterating on agent roles and workflows.

Requirements

Qualifications & Desired Skills

• Proven experience in a customer-facing technical role (e.g., Solutions Engineer, Sales Engineer, Technical Consultant).
• Strong proficiency in Python and experience with APIs and system integrations.
• Familiarity with AI/ML concepts, AI agent frameworks, and LLMs.
• Exceptional communication, presentation, and interpersonal skills.
• Knowledge of workflow orchestration, multi-agent systems, or distributed computing.
• Nice-to-haves: Experience building GenAI solutions, design patterns, RAG, databases (SQL, NoSQL); contributions to open-source AI agent projects; human-in-the-loop systems.