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CrewAICrewAI

Forward Deployed Engineer

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.

About the job

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.

Skills

Python, APIs, AI/ML, LLMs, Crewai, RAG, SQL, NoSQL, Multi-Agent Systems, Workflow Orchestration

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