Intern, Engineering

DrFirst is a Healthcare IT company that has been empowering providers and patients for 25 years through intelligent medication management. They are seeking a technically sharp Engineering Intern to join their Provider Solutions team, where the intern will work on AI tools for marketing enablement and content creation challenges alongside experienced professionals.

Responsibilities:

• Use DrFirst’s internal knowledge base and Claude-powered tools to generate production-ready marketing assets — including one-pagers, product slicks, handouts, and lightweight marketing web pages
• Support marketing collateral and content needs for the ERX Retail (e-prescribing) product line
• Drive AI-assisted content creation for the ERX Enterprise product suite, including Gadget
• Operate and extend Claude-based workflows to reduce manual content development lift for the team
• Identify friction points in existing AI workflows and propose or implement improvements
• Collaborate with engineering, product, and marketing team members on cross-functional Provider Solutions initiatives
• Learn to navigate internal tools and knowledge systems, with guidance and training provided

Requirements:

• Currently enrolled in or recently completed a degree in Computer Science, Software Engineering, or a related technical field
• Demonstrated AI project experience — a personal or contributed project involving an LLM tool or API, with a public artifact (GitHub repo, live demo, or write-up) preferred
• Hands-on experience working with an LLM API or SDK (OpenAI, Anthropic/Claude, or equivalent) in a real use case beyond end-user chat
• Ability to operate with ambiguity, think structurally about discovery and problem-solving, and prioritize value over features
• Effective written and verbal communication skills appropriate for a professional remote team environment
• Ability to work independently, take initiative, ask proactive questions, and manage time within a structured 9–5 EST schedule
• Familiarity with prompt engineering, context management, or output parsing when working with LLMs
• Prior experience building tools or workflows that leverage a knowledge base or document corpus
• Exposure to marketing or sales enablement content (one-pagers, product briefs, web copy) as an output of technical work
• Experience with healthcare IT, e-prescribing, or related regulated industries
• Prior internship or project work involving AI integration, content automation, or product-adjacent engineering