What You'll Do:

Join our team to develop practical AI and automation solutions that streamline internal operations and eliminate manual work. You'll collaborate directly with teams across the company to identify pain points and create simple, effective tools that make their jobs easier. Projects may include building automation systems for internal documentation processes such as Statements of Work (SOWs) and data specifications, developing code conversion utilities, creating automated data quality assurance tools, and exploring semantic data views to enable agentic workflows using technologies like MCP. These projects may include, but are not limited to, the examples above and are subject to change based on key business goals. This role offers hands-on experience in applied AI development, from initial user interviews and requirements gathering through solution design, implementation, and deployment. You'll work closely with internal stakeholders to understand their workflows, prototype solutions, and iterate based on feedback to deliver tools that provide immediate business value. What We're Looking For: We're seeking an Engineering or Computer Science student with a passion for practical AI applications. The ideal candidate should be proficient in Python programming with a solid understanding of machine learning fundamentals and AI concepts. Experience with prompt engineering and familiarity with SQL are valuable additions. You should be comfortable working in VSCode and have strong interpersonal skills, as this role involves regular collaboration with internal users to understand their needs and translate business requirements into technical solutions. Most importantly, we're looking for someone who enjoys problem-solving, can communicate technical concepts clearly to non-technical users, and is excited about creating tools that have an immediate, measurable impact on team productivity.