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CrewAI

Forward Deployed 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 ...

CrewAI

Solutions Engineer

Pre-Sales • Customer-Facing • Technical Overview The Solutions Engineer at CrewAI is a pre-sales technical role that sits at the intersection of AI expertise and business acumen. You will partner ...

VeridianTech

$140K - $145K/yr

Minimum 6 months (CrewAI / AutoGen / LangGraph / LangChain Agents) Role Summary We are seeking a skilled GenAI & Agentic AI Engineer with strong experience in building end to end AI/ML solutions ...

Vytwo

GenAI & Agentic AI Engineer

Prosper, TX · On-site +1

Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents . * Design and implement RAG pipelines , vector search solutions, and embeddingbased retrieval ...

Vytwo

GenAI Agentic AI Engineer

Prosper, TX · On-site +1

Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents. Design and implement RAG pipelines, vector search solutions, and embedding‐based retrieval ...

Merican

AWS AI Engineer

Herndon, VA · On-site

Build and maintain agent-based workflows using frameworks like LangChain, CrewAI, or AutoGen * Manage and optimize vector databases (e.g., Pinecone, Weaviate, Milvus) * Design and optimize Retrieval ...

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What are the key skills and qualifications needed to thrive as a Crew AI Engineer, and why are they important?

To thrive as a Crew AI Engineer, you need a strong background in computer science, AI/ML algorithms, and proficiency in programming languages like Python or Java, often supported by a relevant degree. Experience with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and possibly certifications like AWS Certified Machine Learning are typical requirements. Excellent problem-solving skills, teamwork, and adaptability help you stand out in this fast-evolving field. These skills ensure you can design, implement, and maintain robust AI systems that enhance team productivity and drive innovation.

What are some common challenges faced when coordinating tasks within a Crewai team, and how can they be effectively managed?

Crewai team members often work in dynamic, cross-functional groups, which requires effective communication and adaptability. Common challenges include aligning schedules across different time zones, ensuring clear task delegation, and maintaining consistent progress updates. These challenges can be managed by using collaborative project management tools, setting regular check-ins, and fostering a transparent team culture. Open communication and proactive problem-solving help ensure everyone stays informed and engaged.

What is a Crewai?

Crewai is not a traditional job title but rather a term related to CrewAI, an open-source framework that enables the creation and orchestration of collaborative AI agent teams to solve complex tasks. People working with Crewai typically build, configure, or manage multi-agent systems using this framework, often in tech or AI development roles. These professionals leverage agents—autonomous programs—to collaborate, communicate, and achieve shared objectives, streamlining workflows and automating sophisticated processes. Crewai experts are usually skilled in programming, artificial intelligence, and software integration.
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What states have the most Crewai jobs? States with the most job openings for Crewai jobs include:
What job categories do people searching Crewai jobs look for? The top searched job categories for Crewai jobs are:
Crewai jobs near you
Infographic showing various Crewai job openings in the United States as of May 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Forward Deployed Engineer

CrewAI

Remote

Full-time

Posted 28 days ago

Job description

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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