AI Agent Development Engineer

• Apply AI-based anomaly detection, diagnostics, and decision-support solutions to real power-plant operational challenges.

• Translate plant operating behavior, control logic, alarms, and historian trends into practical AI use cases and agent workflows.

• Work with time-series operational data from DCS/SCADA and plant historians (preferably Emerson Ovation) to identify abnormal patterns, degradation, and performance losses.

• Collaborate with sales and marketing,  and reliability teams to validate AI insights against real plant conditions.

• Support development and tuning of AI/analytics models using Python and data tools (focus on application rather than algorithm research).

• Integrate AI outputs into dashboards, alerts, and engineering workflows without impacting plant safety or control integrity.

• Test, validate, and monitor AI solutions in live or near-real plant environments, ensuring reliability and low false-alarm rates.

• Continuously improve AI performance using operational feedback, historical fault data, and domain knowledge.

• Troubleshoot deployed analytics/AI tools and coordinate improvements with software or data teams.

Who you Are:

We are looking for a proactive professional who excels in dynamic, fast-paced environments. You demonstrate exceptional initiative, confidently tackling complex challenges in power plant control and optimization. With a strong commitment to innovation and excellence, you set ambitious goals and uphold the highest standards in every project.

For This Role, You Will Need:

• Bachelor's degree in Electrical, Instrumentation, Mechanical, Control Systems, Power Engineering, Computer Science, or a related field. 
• 2–8 years of experience in coal-fired, combined-cycle, or utility power plants with strong knowledge of plant operations, control processes, and performance optimization. 
• Hands-on experience with DCS platforms, preferably Emerson Ovation, including control logic, alarm management, plant monitoring, and troubleshooting. 
• Strong understanding of power plant systems such as boilers, turbines, generators, combustion controls, and balance-of-plant operations. 
• Experience developing AI-powered applications using Python, including data processing, API integration, and workflow automation. 
• Knowledge of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agent frameworks such as LangChain, LangGraph, CrewAI, or similar. 
• Ability to translate power plant operational knowledge and procedures into AI Agent use cases and intelligent automation solutions. 
• Strong analytical, problem-solving, and communication skills with the ability to collaborate across operations, engineering, and software development teams. 

Preferred Qualifications That Make You Stand Out:

• Experience with Emerson Ovation DCS or other power plant control systems (ABB, Honeywell, Siemens, GE, Yokogawa). 
• Hands-on experience developing AI Agents, operator assistants, troubleshooting tools, or knowledge management solutions for industrial applications. 
• Knowledge of machine learning, predictive maintenance, anomaly detection, and time-series analytics. 
• Familiarity with vector databases, cloud AI platforms (Azure, AWS, GCP), and industrial data integration. 
  • Passion for applying AI and automation technologies to improve power plant operations, reliability, and performance.