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Niche LLM-agent and device-protocol skills with broad responsibilities create moderate applicant competition.
Highly specialized AI-agent plus device-protocol integration skills reduce cross-industry transferability.
Many mandatory niche technical skills, architecture ownership, and security controls require strict screening.
Design, build, and continuously improve an AI-driven Device Integration Factory for automating integrations of diverse physical-security and IoT devices.
Develop and manage AI agents and workflows that analyze vendor documentation to generate integration code, test, troubleshoot, and prepare changes for engineering review.
Own architecture, implementation, and operational metrics including automated testing, CI/CD integration, security compliance, and human-in-the-loop controls to ensure quality and reliability.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field, or equivalent practical experience.
Strong programming skills in Python, JavaScript/TypeScript, Node.js, C++, C#, or Go.
Experience with LLM-based coding agents and AI automation tools such as Claude Code, OpenAI Codex/ChatGPT.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced with AI-driven software development automation including agent orchestration, prompt engineering, and AI evaluation.
Strong knowledge of physical-security or IoT device integrations, communication protocols (REST, MQTT, RTSP, ONVIF), and vendor SDKs.
Comfortable working with complex system architectures involving CI/CD, Docker, Linux, cloud infrastructure, and secure AI software development practices.