AI Automation Developer Intern - Fall

Electric Power Engineers • Austin, TX

3d • Remote

About The Position

We are designing the grid of the future! Be a part of an innovative team shaping the grid of the future through advanced energy intelligence. For more than half a century, Electric Power Engineers, (EPE) has partnered with power and energy clients across the globe providing consulting expertise and energy intelligence software solutions for complex engineering and grid modeling challenges. As leaders in the renewables space, we are focused on building a modern, secure, and resilient gid. Join us in making an impact on the communities we serve and the environment in which we live. Together we can transform the future of energy.

Electric Power Engineers, Inc. (EPE) is an engineering consulting firm working in renewable generation, grid integration, compliance, and technical studies. We are seeking an AI Automation Developer Intern to build internal AI-powered tools that improve the efficiency and consistency of our engineering and compliance teams. You will work with technical staff (study engineers, commissioning specialists, compliance analysts) to translate their workflows into AI-assisted solutions — for example, chatbots that answer questions on NERC standards, ISO commissioning steps, study procedures (e.g., MOD-026/027, PRC-019), or internal SOPs and templates.

Requirements

• Completion of, or current enrollment in, a bachelor’s degree program with a major in Computer Science, Electrical and Computer Engineering, or Data/AI from an accredited college or university.
• Proficient programming in Python or JavaScript for backend automation / APIs
• Familiarity with modern LLM stacks (OpenAI/Anthropic APIs, LangChain, RAG, embeddings, vector DBs)
• Strong written communication for clear documentation and knowledge capture
• Minimum GPA of 3.0 or higher

Responsibilities

• Develop internal AI assistants/tools to support engineering and compliance workflows (e.g., policy Q&A bots, study-procedure assistants, template generators, queryable knowledge bases)
• Ingest and structure internal knowledge (standards, SOPs, commissioning guides, templates, past deliverables)
• Apply prompt engineering / retrieval-augmented generation to ensure accuracy and compliance
• Integrate prototypes with internal systems and shared knowledge libraries where applicable
• Validate tools with internal users (engineers, PMs, compliance analysts) and iterate based on feedback
• Produce technical documentation for maintenance, auditability, and hand-off to internal teams

What This Job Offers

• Job Type: Part-time
• Career Level: Intern