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### Job Duties

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.

Responsibilities:

• 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.

Technical Skills:

• 3+ years building and deploying AI-powered systems using LLMs, RAG and agentic architectures

• Solid Python programming skills and experience with modern AI/ML libraries.

• Advanced knowledge of LLMs, including fine-tuning, prompt engineering, and evaluation

• Proven experience implementing RAG systems and integrating vector databases or external knowledge stores.

• Proven experience in building and fine-tuning foundation models (e.g., LLMs, vision transformers, multimodal models) for different domains (such as energy, healthcare, finance, etc.).

• Past experience in implementing association rule mining algorithms to uncover patterns and relationships within large and diverse datasets,

• Past experience in building similarity search pipelines using vector representations to enable accurate ranking and retrieval based on multidimensional feature similarity.

• Deep knowledge of agentic AI frameworks and multi-agent system design.

• Proven ability to design and implement multi-agent systems and agent-to-agent communication

• Strong background in neural network architectures, including transformers and other models.

• Strong background in advanced mathematics and statistics for model optimization and validation

• Familiarity of Model Context Protocol and best practices for managing AI model context and state.

• Proficiency in Python and relevant AI/ML frameworks such as TensorFlow or PyTorch.

• Excellent problem-solving skills and ability to communicate complex AI concepts to technical and non-technical stakeholders.

• Strong foundation in machine learning concepts, including algorithms (e.g., deep learning, reinforcement learning) and statistical methods.

• Experience with AI system security, compliance, and ethical AI considerations.

• Knowledge of natural language processing (NLP) pipelines and data engineering.

• Familiarity with conversational AI and chat bot frameworks.

• Familiarity with version control systems like Git.

• Familiarity with SQL and No-SQL database engines is a plus.

Research and Project Experience:

• Experience conducting independent research or working on AI-related projects.

• (For Ph.D. students) A strong publication record demonstrating research experience.

• (For Master's students) Experience conducting independent research or working on AI-related projects.

Other Skills:

• 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.

Benefits:

• Gain valuable experience working on real-world AI projects with a significant impact on the future of power systems.

• Work alongside leading experts in AI and the energy sector.

• Potential for co-authorship on research publications (depending on contribution).

• Opportunity to develop your research skills and expertise in a rapidly evolving field.

• Be part of a dynamic and collaborative research team working on a critical global challenge.

### Minimum Education Required

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

### Minimum Experience Required

3 years

### Shift

First (Day)

### Number of Openings

3

### Public Transportation Accessible

Yes

### Compensation

$100,000.00 - $150,000.00

### Postal Code

55435

### Place of Work

On-site

### Requisition ID

1548

### Job Type

Full Time

### Job Benefits

Health insurance, paid time off, short term disability insurance, commuter reimbursement, 401k, life insurance, long term disability, dental & vision coverage

### Application Link

https://www.oati.com/careers/