Industry: Software Development
Company Size: 2-10 employees

CrewAI

Savvy Admin PROD

Post-Sales

-  Customer-Facing

-  Technical

**Overview**

The AI Deployment Engineer at CrewAI is a post-sales technical role responsible for turning signed deals into production success stories. You will own the end-to-end technical relationship with enterprise customers—from initial onboarding and integration through production deployment, optimization, and ongoing expansion.

This role is ideal for someone who finds deep satisfaction in solving hard infrastructure and integration problems, building lasting partnerships with customer engineering teams, and ensuring that multi-agent AI systems deliver measurable business value at scale.

**Key Responsibilities**

**Technical Implementation & Integration**

- Lead the technical integration of CrewAI's platform into customers' systems, including API integrations, data pipelines, authentication flows, and custom workflows

- Develop and maintain robust, scalable solutions tailored to each customer's infrastructure requirements, leveraging deep expertise in Python, Agentic AI Stack, and cloud platforms

- Troubleshoot complex technical issues during and after implementation—from container orchestration and networking problems to LLM configuration and tool integrations—providing timely resolutions and root cause analyses

**Deployment & Production Operations**

- Develop and integrate custom agents, tools, and processes using Python and CrewAI's open-source and enterprise libraries

- Monitor deployed solutions for performance, reliability, and business value, rapidly iterating on agent roles and workflows to adapt to evolving customer needs

**Customer Success & Relationship Management**

- Act as the primary technical point of contact for a portfolio of enterprise customers post-sale, building deep, trusted relationships with their engineering and leadership teams

- Conduct structured onboarding programs, technical workshops, and training sessions to drive product adoption and self-sufficiency

- Proactively identify expansion opportunities by understanding customers' evolving business objectives and mapping them to additional CrewAI capabilities

- Collaborate with Customer Success Managers and Support Engineers to ensure smooth operations and high retention

**Documentation & Feedback Loop**

- Create and maintain deployment runbooks, best practices guides, architecture documentation, and customer-specific technical references

- Provide structured, actionable feedback to Product and Engineering based on real-world deployment patterns, pain points, and feature requests

- Contribute to internal tooling, automation, and processes that improve deployment efficiency and customer experience at scale

**Requirements**

**Qualifications & Desired Skills**

- 3+ years in customer-facing technical role (Forward Deployed Engineer, Implementation Engineer, Technical Account Manager, or similar)

- Strong proficiency in Python and hands-on experience with containerized deployments (Docker, Kubernetes), and Agentic AI Stack (observability, RAG, etc)

- Familiarity with AI/ML concepts and technologies, including LLMs, AI agent frameworks, RAG patterns, and prompt engineering

- Experience troubleshooting distributed systems in production—networking, scheduling, resource management, and observability

- Exceptional communication skills, with the ability to translate complex technical issues into clear customer communications and executive briefings

- Knowledge of workflow orchestration, multi-agent systems, or distributed computing is a strong plus

- Bachelor's degree in Computer Science, Engineering, or a related technical field preferred

- Experience building GenAI solutions, working with various databases (SQL, NoSQL), or contributing to open-source AI agent projects is a significant bonus

**Team Collaboration**

You will work closely with Product, Engineering, Sales, and Customer Success to resolve technical issues, surface product improvements, support account expansion, and ensure long-term customer satisfaction. You'll also partner with the pre-sales team to ensure seamless handoffs from closed deals into successful implementations.

**Performance Metrics**

- Successful project implementations and time-to-production-value

- Customer satisfaction scores (CSAT/NPS) and account health metrics

- Timeliness and quality of technical support and issue resolution (SLA adherence)

- Net revenue retention (NRR) contribution through expansion and low churn

- Quality of solution designs, documentation, and actionable product feedback

AI Deployment Engineer

**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

Forward Deployed Engineer

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