PCRecruiter - Recruitment Software & Applicant Tracking System
AI Automation Engineer
PCRecruiter - Recruitment Software & Applicant Tracking System, New York, New York, us, 10261
Title:
Intelligent Automation Systems Engineer Location:
Manhattan, NY (Hybrid with On-Site Preferred) About the Role: Join a cutting-edge engineering team leading the convergence of AI and robotics to transform how automation operates across sectors like manufacturing, logistics, and high-tech R&D. This is a high-impact opportunity for someone passionate about pushing the boundaries of what's possible in intelligent machine behavior and industrial autonomy. The ideal candidate will design, deploy, and refine AI-integrated automation workflows that improve system learning, adaptability, and performance—all while working with top-tier engineers in a state-of-the-art lab and field environment. Key Responsibilities: Architect adaptive automation systems that integrate rule-based programming, robotics, and machine learning technologies. Develop interfaces that allow real-time communication between AI algorithms (e.g., vision, language, or reinforcement learning) and automation hardware such as PLCs and robotic arms. Enable autonomous decision-making capabilities in industrial scenarios through intelligent failure recovery and process optimization. Collaborate closely with controls, software, and mechanical engineering teams to embed AI into core automation pipelines. Build monitoring tools to oversee real-time AI behavior, system health, and performance KPIs. Drive ongoing improvement through audits, metrics analysis, and machine learning model feedback. Highlighted Projects: Self-calibrating robotic systems using machine vision and adaptive learning. AI-based schedulers that dynamically allocate tasks across distributed robotic platforms. Real-time anomaly detection models with automated system correction for operational resilience. Qualifications: Required: Bachelor's or Master’s degree in Electrical Engineering, Computer Science, Mechatronics, or a related field. 3+ years of experience in automation or robotics engineering, with demonstrable work on AI/ML integration. Strong proficiency in Python and experience with industrial communication protocols such as MQTT, OPC UA, or Modbus. Experience deploying machine learning models in live systems (scikit-learn, PyTorch, or TensorFlow). Solid understanding of embedded control systems, sensors, and industrial robotics. Preferred: Experience with real-time systems and robotics middleware such as ROS or ROS2. Knowledge of Docker or edge-computing platforms. Familiarity with predictive analytics, reinforcement learning, or intelligent maintenance frameworks. Why Apply: Be part of pioneering projects that integrate AI into physical automation for real-world transformation. Work hands-on in a collaborative environment with access to advanced robotics labs and deployment sites. Receive a competitive compensation package including salary, equity, and comprehensive benefits. Thrive in a forward-thinking culture with strong mentorship and innovation at its core.
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Intelligent Automation Systems Engineer Location:
Manhattan, NY (Hybrid with On-Site Preferred) About the Role: Join a cutting-edge engineering team leading the convergence of AI and robotics to transform how automation operates across sectors like manufacturing, logistics, and high-tech R&D. This is a high-impact opportunity for someone passionate about pushing the boundaries of what's possible in intelligent machine behavior and industrial autonomy. The ideal candidate will design, deploy, and refine AI-integrated automation workflows that improve system learning, adaptability, and performance—all while working with top-tier engineers in a state-of-the-art lab and field environment. Key Responsibilities: Architect adaptive automation systems that integrate rule-based programming, robotics, and machine learning technologies. Develop interfaces that allow real-time communication between AI algorithms (e.g., vision, language, or reinforcement learning) and automation hardware such as PLCs and robotic arms. Enable autonomous decision-making capabilities in industrial scenarios through intelligent failure recovery and process optimization. Collaborate closely with controls, software, and mechanical engineering teams to embed AI into core automation pipelines. Build monitoring tools to oversee real-time AI behavior, system health, and performance KPIs. Drive ongoing improvement through audits, metrics analysis, and machine learning model feedback. Highlighted Projects: Self-calibrating robotic systems using machine vision and adaptive learning. AI-based schedulers that dynamically allocate tasks across distributed robotic platforms. Real-time anomaly detection models with automated system correction for operational resilience. Qualifications: Required: Bachelor's or Master’s degree in Electrical Engineering, Computer Science, Mechatronics, or a related field. 3+ years of experience in automation or robotics engineering, with demonstrable work on AI/ML integration. Strong proficiency in Python and experience with industrial communication protocols such as MQTT, OPC UA, or Modbus. Experience deploying machine learning models in live systems (scikit-learn, PyTorch, or TensorFlow). Solid understanding of embedded control systems, sensors, and industrial robotics. Preferred: Experience with real-time systems and robotics middleware such as ROS or ROS2. Knowledge of Docker or edge-computing platforms. Familiarity with predictive analytics, reinforcement learning, or intelligent maintenance frameworks. Why Apply: Be part of pioneering projects that integrate AI into physical automation for real-world transformation. Work hands-on in a collaborative environment with access to advanced robotics labs and deployment sites. Receive a competitive compensation package including salary, equity, and comprehensive benefits. Thrive in a forward-thinking culture with strong mentorship and innovation at its core.
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