Forward Deployed Engineer, CrewAI
Multi-agent automation platform
Be an early applicant
Multi-agent automation platform
21-100 employees
Be an early applicant
21-100 employees
Company mission
To streamline workflows across industries with powerful AI agents.
Role
Who you are
- 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
What the job involves
- 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
- 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
- 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
- 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
- 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
- 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
Our take
CrewAI is a multi-agent platform designed to streamline workflows across industries using powerful AI agents. By enabling organisations to build and deploy automated workflows with any large language model (LLM) and cloud platform, CrewAI transforms complex tasks into seamless automations.
The platform empowers millions of AI agents monthly, catering to diverse use cases ranging from research and analysis to coding and reporting. Boasting features like self-iteration, performance evaluation and persistent memory, CrewAI provides organisations with the tools they need to manage AI agents effectively while keeping humans in the loop for oversight and feedback.
This proposition has caught the attention of investors, seeing the company raise significant funds. This will support CrewAI's growth and development efforts, enabling it to expand operations. With a strong user base of over 150 customers across the globe, CrewAI is in a good place for continued success in the AI automation space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Oct 2024
$12.5m
SERIES A
Total funding: $12.5m
Company benefits
- Mission-driven team
- Remote-first culture
- Strong ownership and impact opportunities
Company HQ
Bela Vista, SP
Leadership
João Moura
(Co-Founder & CEO)Previously founded Urdog. They also served as the Director of AI Engineering at Clearbit, as an Engineering Manager at Toptal, and as the Lead Software Engineer at Packlane.
Rob Bailey
(Co-Founder & COO)Previously founded BackboneAI and MState where they served as the CEO. They were also a Strategic Advisor for over 9 years and the COO and GTM at Kustomer (acquired by Facebook).
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