Product Engineer – AI

🔥 0 minutes ago

🌵 Arizona, Colorado, +20 more states – Remote

🌵 Arizona – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌪️ Kansas – Remote 🗻 New Hampshire – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌲 Oregon – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $150k - $160k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

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MedBridge

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚕️ Healthcare Insurance

📚 Education

💰 Venture Round on 2021-01

Healthcare Insurance • Education

MedBridge is a healthcare education and patient care software company that provides innovative solutions for healthcare professionals to enhance patient care and practice efficiently. Offering a rich library of evidence-based online continuing education courses, customizable home exercise programs, and digital care tools, MedBridge supports various disciplines including physical therapy, occupational therapy, speech-language pathology, and nursing among others. The platform is trusted by over 350,000 healthcare providers and aims to bridge the gap between patient and provider with its comprehensive resources and expert-driven content aimed at improving healthcare outcomes.

📋 Description

• Own stakeholder relationships across Medbridge’s executive team, working with them to find the problems and AI enabled solutions that can expedite, or remove, the current blockers in the business. • Design, build, and ship AI-powered features across our internal teams, from the user interface to the backend services and AI workflows behind it. • Build full-stack applications using AI-native engineering workflows and tools such as Claude, Cursor, Codex, and OpenAI and Anthropic APIs. • Develop APIs, backend services, and automation pipelines that support intelligent product capabilities and production-ready deployments. • Apply software engineering, DevOps, and MLOps best practices to the testing, deployment, monitoring, evaluation, and optimization of AI solutions. • Partner closely with our Product and Engineering teams to turn ambiguous goals into scalable internal products. • Use AI tooling throughout your workflow (coding, code review, testing, and planning) and help push the team’s adoption forward. • Research emerging AI technologies, LLM implementation patterns, and modern product engineering frameworks, and bring what works back to the team. • Instrument what you ship and use usage data and evidence to decide what to build, fix, or kill next.

🎯 Requirements

• 2+ years of professional experience in software engineering, product engineering, or full-stack application development. • Hands-on experience delivering real AI-powered applications in production using tools such as Claude, Cursor, Codex, OpenAI, Anthropic, or similar AI development platforms. • Practical experience integrating LLMs: prompt engineering, AI agents, generative AI workflows, or RAG architectures. • Strong full-stack fundamentals with proficiency in a modern language such as Python, TypeScript, or JavaScript, and a track record of building and deploying production-grade applications. • Product instinct: you ask who the user is and what they actually need before writing code, and you push back on solutions that miss the point. • A bias toward shipping and learning over endless planning, balanced with the judgment to know when something needs more care. • Genuine enthusiasm for using AI to work better and faster, and the discernment to know where it helps and where it does not. • Clear written and verbal communication. You can explain a tradeoff to an engineer and the same tradeoff to a non-engineer. • Comfort with ambiguity and a track record of owning outcomes, not just tasks.

🏖️ Benefits

• Health insurance •401(k) matching • Paid time off • Remote work options