Software Engineer III

November 25

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

+21 more states

🌵 Arizona – Remote 🏄 California – 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

💵 $140k - $175k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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MedBridge

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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.

51 - 200 employees

⚕️ Healthcare Insurance

📚 Education

💰 Venture Round on 2021-01

📋 Description

• Design, develop, and maintain scalable, reliable, and secure software solutions within the Medbridge platform, leveraging AI capabilities to enhance user experience and product functionality. • Integrate AI-powered features and services into existing products, including natural language processing, predictive analytics, and intelligent automation solutions. • Collaborate with cross-functional teams, including product managers, designers, data scientists, and other engineers, to define and implement new features with AI-driven insights. • Architect and implement AI model deployment pipelines, ensuring seamless integration between machine learning models and production systems. • Ensure code quality through rigorous testing, code reviews, and adherence to best practices, including AI model validation and performance monitoring. • Continuously improve software engineering practices, processes, and tools to enhance team productivity and product quality, with focus on MLOps and AI development workflows. • Mentor and provide guidance to junior engineers, fostering a culture of continuous learning and improvement in both traditional software development and AI technologies.

🎯 Requirements

• 5+ years of professional software engineering experience, with a strong focus on SaaS applications and web services. • 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability, and scaling) of new and existing web applications. • Hands-on experience integrating AI/ML services (e.g., OpenAI, Claude API, AWS Bedrock, Azure AI) into production applications. • Experience with front-end and back-end technologies, including languages like Go, PHP, JavaScript and frameworks like Angular, with ability to build AI-enhanced user interfaces. • Proficiency in working with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, LangChain, or similar) and implementing RAG systems. • Experience and strong proficiency with MySQL or other relational databases, including vector databases for AI applications • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) • Demonstrated experience in prompt engineering, fine-tuning, and optimizing AI model performance in production environments. • Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment and translate AI capabilities into business value. • Experience in writing and maintaining unit, integration, and end-to-end tests to ensure software quality and reliability, including AI model testing and validation. • A Bachelor's Degree in Computer Science, related field, or equivalent industry experience.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities