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AI Engineer with 2+ years in LLM-powered workflow automation and multi-agent systems
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Assessing your cultural and operational fit
AI Automation Specialist with proven experience designing and deploying LLM powered workflow automation, multi-agent systems, and cross platform API integrations at Sytoso LLC. Proficient in n8n, OpenAI and Anthropic APIs, and integrating business tools such as HubSpot, Twilio, and Airtable to eliminate manual work at scale. Adept at translating operational requirements into reliable, scalable automation pipelines across customer support, lead management, HR, and reporting functions.
Cultural Fit Analysis
The candidate's experience at Sytoso LLC as an AI Engineer and the cybersecurity internship at NASTP demonstrate a focus on practical, solution-oriented roles. The projects, particularly the AI-Driven Vulnerability Prioritization & Remediation System, show initiative in applying AI to real-world problems. The target role of 'AI Engineer' aligns well with the candidate's current experience and stated skills. However, the overall breadth of experience outside of AI automation and cybersecurity is limited, and there is no explicit mention of contributions to open-source, community involvement, or diverse team environments, which could indicate a narrower cultural fit depending on the organization's values.
Soft Skills & Operational Fit
The candidate's resume highlights experience in maintaining automation documentation, monitoring workflow uptime, and optimizing logic based on business feedback, indicating a focus on operational excellence and collaboration with non-technical stakeholders. The cybersecurity internship also suggests an ability to contribute to security monitoring and incident response, which implies attention to detail and problem-solving under pressure. However, direct evidence of soft skills like leadership, conflict resolution, or advanced teamwork is not explicitly detailed.