Artificial Intelligence Engineer

Founder & CEO of Hadron Energy | Engineer Providing Clean Energy | Global Engineering Leader | International Standards & Certifications Scholar

Hadron Energy specializes in Micro Modular Reactor (MMR) development, design, and research based in the San Francisco Bay Area. As the leading MMR developer, Hadron Energy is building factory-produced, transportable microreactors that provide 24/7 carbon-free power for data centers, government facilities, industrial sites, and remote communities. Our mission is to create a brighter, healthier, and more equitable energy future.

This is a full-time on-site role for an Artificial Intelligence Engineer
, based in the San Francisco Bay Area. The position is ideal for candidates who are passionate about applying AI and automation to accelerate innovation, productivity, and operational excellence within a next-generation clean energy company.

The Artificial Intelligence Engineer will lead the design and implementation of AI-driven software tools, automation systems, and intelligent agents that streamline engineering workflows, enhance decision-making, and optimize company-wide efficiency. This individual will work cross-functionally across engineering, operations, regulatory, and business teams to develop and deploy solutions that integrate machine learning, data automation, and natural language processing into Hadron’s daily operations.

You will play a key role in building Hadron’s internal AI ecosystem—developing customized tools that improve collaboration, automate routine processes, and help teams focus on high-value work as the company scales toward commercial reactor deployment and public-company operations.

• Design, develop, and deploy AI-driven tools and software agents to enhance productivity, automate workflows, and support decision-making across teams
• Collaborate with engineering, operations, and executive leadership to identify automation opportunities and translate them into scalable AI solutions
• Build, train, and integrate LLM-based and task-specific AI models into internal systems and knowledge platforms
• Develop and maintain APIs, data pipelines, and automation frameworks that connect various tools and departments (e.g., engineering, project management, finance)
• Implement intelligent assistants for documentation, task tracking, and data analysis
• Prototype and iterate on internal AI products to support engineering design, regulatory documentation, and project scheduling
• Monitor AI performance, ensure data quality, and maintain system reliability and compliance
• Stay current on emerging AI technologies, frameworks, and best practices; continuously evaluate opportunities for integration within Hadron’s operations
• Work closely with IT and cybersecurity teams to ensure safe, ethical, and secure use of AI systems
li>Document and present progress, demonstrating clear value and measurable efficiency improvements across the company

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• 5+ years of experience in software development or AI/ML engineering
• Experience with machine learning frameworks such as Tensor Flow, PyTorch, or scikit-learn
• Familiarity with LLMs, generative AI tools, and agentic frameworks (Lang Chain, OpenAI API, Anthropic, etc.)
• Proven ability to build and deploy automation workflows using APIs, webhooks, and integration tools (Zapier, Make, or custom pipelines)
• Understanding of data engineering, API design, and systems integration
• Experience developing productivity or workflow automation tools for cross-functional organizations
• Excellent analytical, problem-solving, and communication skills
  
  Strong sense of initiative, adaptability, and curiosity about applying AI in real-world industrial and technical settings
• Passion for clean energy, advanced technology, and building the future of nuclear innovation through intelligent systems

Associate

Full-time

Engineering and Research

Nuclear Electric Power Generation and Energy Technology