AI Engineer

Open Access Technology International (OATI) is seeking highly motivated individuals to join our team of AI Engineers focused on power systems. This is a fantastic opportunity to gain practical experience working on real-world AI applications alongside leading experts in the energy sector.

Our team is tackling critical challenges in electric power system operations using Artificial Intelligence.

Responsibilities :

• Conduct research and development on specific AI problems critical to power system operations, leveraging OATI&aposs vast datasets spanning decades (e.g., forecasting load, wholesale electricity market prices, renewable energy generation; optimizing grid reliability, resiliency, and stability; signature analysis and anomaly detection).
• Design, build, and deploy agentic AI systems using frameworks such as LangChain, LangGraph and related agentic libraries.
• Implement and optimize retrieval-augmented generation (RAG) pipelines ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.
• Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning and dynamic adaptation.
• Lead the development of enterprise-grade AI platform that integrates advanced generative AI and LLM technologies.
• Design, build and fine-tune large foundation AI models (e.g., LLMs, multimodal models) for the energy domain.
• Develop and deploy agentic AI systems capable of autonomous decision-making and multi-agent collaboration.
• Build and optimize neural network models tailored to use cases in the energy / power systems industry ensuring high performance and scalability.
• Implement and standardize Model Context Protocol based communication to ensure consistent context management across AI models and agents.
• Establish and enforce best practices for MLOps, model monitoring and observability to ensure robust, scalable and maintainable AI solutions
• Develop and implement machine learning models using popular frameworks (e.g., TensorFlow, PyTorch) to analyze and extract meaningful insights from power system data.
• Participate in the full research cycle, including literature review, data exploration, experimentation, analysis and presentation of findings.
• Collaborate effectively with other researchers, engineers and data scientists.
• Contribute to the development and documentation of technical code.

Qualifications : Education :

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field; PhD preferred.

Technical Skills :

Research and Project Experience :

Other Skills :

Benefits :

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Skills Required

Tensorflow, Pytorch, Version Control Systems, Python, Sql, data engineering , Statistics