OATI
AI

AI Engineer

OATI · Bloomington, MN · $100k - $150k

Actively hiring Posted about 19 hours ago

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.

Tags & focus areas

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Fulltime Ai Ai Engineer