{"id":22766,"url":"https://alion.io/job/crewai-forward-deployed-engineer-east-coast-based","title":"Forward Deployed Engineer - (East coast based)","company":{"id":6383,"name":"CrewAI","domain":"crewai.com","url":"https://alion.io/company/crewai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":115000,"max_usd":252000,"period":"year","method":"role_country_seniority_unknown","sample_n":4100},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CrewAI","optional":false},{"name":"Edge AI","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"Human-in-the-Loop","optional":true},{"name":"RAG","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-04-09T00:00:00Z","employer_posted_date":"2026-04-09","last_verified_at":"2026-10-16T14:22:39Z","board_verified":true,"closed_at":null,"days_open":190,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":190},"description":"Overview\nThe 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.\nKey Responsibilities\nTechnical Implementation & Integration\nLead the technical integration of CrewAI's products into customers’ systems, including API integrations, data pipelines, and custom workflows.\nDevelop and maintain robust, scalable solutions tailored to client requirements, leveraging your expertise in Python and other relevant technologies.\nTroubleshoot complex technical issues during implementation and provide timely resolutions, collaborating with our internal engineering teams as needed.\nClient Engagement & Solution Design\nAct as the primary technical point of contact, thoroughly understanding the customers’ business objectives and technical landscapes.\nTranslate client needs into technical specifications and solution designs, ensuring alignment with CrewAI's product capabilities.\nDesign and architect CrewAI-powered agent teams, assigning specialized roles and workflows tailored to client needs.\nConduct technical workshops and training sessions for customer teams to facilitate product understanding and adoption.\nCollaborate with Customer Success Engineers and Support Engineers, to ensure customers’ success and smooth operations\nDeployment & Optimization\nDeploy, configure, and optimize CrewAI-based multi-agent systems in production environments.\nDevelop and integrate custom agents, tools, and processes using Python and CrewAI’s open-source libraries.\nMonitor deployed solutions for performance, reliability, and business value, rapidly iterating on agent roles and workflows to adapt to evolving client needs.\nRequirements\nQualifications & Desired Skills\nProven experience in a customer-facing technical role, such as a Solutions Engineer, Sales Engineer, or Technical Consultant.\nBachelor's degree in Computer Science, Engineering, or a related technical field is preferred.\nStrong proficiency in Python and experience with APIs and system integrations.\nFamiliarity with AI/ML concepts and technologies, including AI agent frameworks and LLMs.\nExceptional communication, presentation, and interpersonal skills.\nKnowledge of workflow orchestration, multi-agent systems, or distributed computing.\nExperience building GenAI solutions and knowledge of design patterns, RAG, and working with various databases (SQL, NoSQL) are a plus.\nContributions to open-source AI agent projects or experience with human-in-the-loop systems is a significant bonus.\nTeam Collaboration\nYou 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.\nPerformance Metrics\nYour success will be measured by key indicators, including:\nSuccessful project implementations and high client 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