Artificial Intelligence Engineer

Description

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
• Monitor AI performance, ensure data quality, and maintain system reliability and compliance
• Implement intelligent assistants for documentation, task tracking, and data analysis
• Work closely with IT and cybersecurity teams to ensure safe, ethical, and secure use of AI systems
• Prototype and iterate on internal AI products to support engineering design, regulatory documentation, and project scheduling
• Develop and maintain APIs, data pipelines, and automation frameworks that connect various tools and departments (e.g., engineering, project management, finance)
• Build, train, and integrate LLM-based and task-specific AI models into internal systems and knowledge platforms
• Stay current on emerging AI technologies, frameworks, and best practices; continuously evaluate opportunities for integration within Hadron’s operations
• Collaborate with engineering, operations, and executive leadership to identify automation opportunities and translate them into scalable AI solutions

Requirements

• Familiarity with LLMs, generative AI tools, and agentic frameworks (LangChain, OpenAI API, Anthropic, etc.)
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• 5+ years of experience in software development or AI/ML engineering
• Strong programming proficiency in Python, JavaScript, or similar languages
• Document and present progress, demonstrating clear value and measurable efficiency improvements across the company
• Strong sense of initiative, adaptability, and curiosity about applying AI in real-world industrial and technical settings
• Excellent analytical, problem-solving, and communication skills
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Experience developing productivity or workflow automation tools for cross-functional organizations
• 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

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance