Role overview
The 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. The starting salary for this role ranges from $100k - $150k per year, commensurate with experience.
Our team is tackling critical challenges in electric power system operations using Artificial Intelligence.
What you'll work on
- Conduct research and development on specific AI problems critical to power system operations, leveraging OATI's 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.
What we're looking for
- Excellent analytical and problem-solving skills with the ability to tackle complex problems.
- Strong communication skills to present research findings and collaborate effectively within a team
- Ability to work independently and manage time effectively.
- A passion for research and development in the field of AI and a strong interest in the power sector.