Leads technical integration of AI agent solutions for clients, designs custom multi-agent workflows using Python, troubleshoots implementations, and optimizes production deployments. Requires Python expertise, AI/ML familiarity, and customer-facing technical experience.
Salary not listed
RemoteML Engineering
About the role
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.
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Salary not listed
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