2+ years of hands-on experience in AI Engineering, Machine Learning, Generative AI, or intelligent automation
Proven track record of developing AI agents, LLM-based applications, and automation solutions. Deep understanding of prompt engineering, context management strategies, and implementing AI guardrails to ensure response reliability and accuracy
Hands-on experience designing, developing, and deploying Agentic AI workflows using industry-standard frameworks such as LangGraph, LangChain, CrewAI, or similar tools
Strong proficiency in Python development. Extensive experience building enterprise-grade Python services and integrating applications through REST APIs
Demonstrated ability to build AI-powered assistants aimed at automating complex processes, preferably with exposure to security operations, incident investigations, or repetitive SOC tasks. Familiarity with integrating tools into security platforms like SIEM and EDR is highly desirable