OATI · 1 day ago
AI Engineer
Bloomington, MN
Full-time
Onsite
Mid Level
$100K/yr - $150K/yr
3+ years expOpen Access Technology International (OATI) is seeking motivated individuals to join their team of AI Engineers focused on power systems. This role involves conducting research and development on AI applications to tackle challenges in electric power system operations, while collaborating with experts in the energy sector.
ComputerEnergyInformation TechnologyiOSRenewable EnergyRisk ManagementSoftware
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
Qualification
Required
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field; PhD preferred
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
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
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.
Company
OATI
Oati is an software solutions provider that specializes in software to help efficiency in energy consumption.
501-1000 employees
H1B Sponsorship
OATI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (16)
2024 (9)
2023 (10)
2020 (17)
Funding
Current Stage
Late StageLeadership Team
Linda Stevens
Chief Strategy Officer - Smart Grid and Smart Cities
Recent News
2025-07-30
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