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Role description

Forward Deployed Engineer - (East coast based)

crewAI logocrewAI
AI-native
TypeFull-time
WorkplaceRemote
LocationUnited States
Posted4/9/2026
Engineering

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 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 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.

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Company info

crewAI logo

crewAI

Crew AI is at the forefront of Agentic AI with a combination of its open source, multi-agent harness and Agent Management Platform (AMP) for building, managing and scaling workflows across the entire organization. CrewAI's Agent Management Platform (AMP) is designed for building, orchestrating, deploying and managing Enterprise AI agents and multiagent workflows, built on the open-source, MIT-licensed CrewAI framework. It enables organizations to design "Crews" of autonomous agents and "Flows" that combine deterministic steps, such as routing and iteration, with agents and Crews, working across data, APIs and business systems. CrewAI Studio, a no-code visual builder with a natural-language assistant, produces Flows that run in the same runtime as code-built projects and can be exported as code. AMP provides managed execution with versioning and rollback, persistent agent memory and horizontal scaling. CrewAI offers runtime policy enforcement (including PII removal and cost policie

Series B
HQNew York, United States
Size11–50 employees
Unlock human wisdom
ThesisTermsPrivacy
Industry
Software Development
Funding
  • Series B · Jul 28, 2026
  • Series A · $12.4M · Oct 22, 2024
Investors
Insight Partnersboldstart venturesSineWave VenturesBlitzscaling VenturesCraft Ventures
Tech stackpre-commit, redis, tailwind, tableau, amazon-ecs, snowflake, scaleai, rails, slack, langgraph

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