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Forward Deployed Engineer - (East coast based)

CrewAI
Posted 5 months ago, valid for 13 days
Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • The Forward Deployed Engineer (FDE) at CrewAI is a customer-facing role that integrates AI technology with client needs.
  • Candidates should have proven experience in a technical role, preferably with a Bachelor's degree in a related field and strong proficiency in Python.
  • The position requires leading technical implementations, troubleshooting issues, and engaging with clients to ensure successful adoption of solutions.
  • The role offers a salary range of $100,000 to $130,000 and requires a minimum of 3 years of relevant experience.
  • Collaboration with various teams and a focus on client satisfaction are key components of this position.
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.
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.



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