
51 - 200 employees
☁️ SaaS
⚕️ Healthcare Insurance
🤝 B2B
💰 Venture Round on 2018-02
SaaS • Healthcare Insurance • B2B
Curve Dental is a leading provider of cloud-based practice management software for dental practices. The company offers an all-in-one solution that includes scheduling, billing, charting, imaging, patient engagement, and business analytics tools, designed to enhance the efficiency and profitability of dental practices of all sizes. Curve Dental helps dental professionals streamline operations, boost patient engagement, and improve revenue and case acceptance rates. Their platform features a variety of tools such as Curve GRO® for patient engagement, treatment planning modules, ePrescribe for electronic prescribing, and more. With Curve Dental, practices can manage multiple locations efficiently with secure, cloud-based access to patient information and operational insights.
🔥 1 hour ago
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51 - 200 employees
☁️ SaaS
⚕️ Healthcare Insurance
🤝 B2B
💰 Venture Round on 2018-02
SaaS • Healthcare Insurance • B2B
Curve Dental is a leading provider of cloud-based practice management software for dental practices. The company offers an all-in-one solution that includes scheduling, billing, charting, imaging, patient engagement, and business analytics tools, designed to enhance the efficiency and profitability of dental practices of all sizes. Curve Dental helps dental professionals streamline operations, boost patient engagement, and improve revenue and case acceptance rates. Their platform features a variety of tools such as Curve GRO® for patient engagement, treatment planning modules, ePrescribe for electronic prescribing, and more. With Curve Dental, practices can manage multiple locations efficiently with secure, cloud-based access to patient information and operational insights.
• Designing, building, testing, and delivering production AI capabilities, including intelligent agents, workflows, MCP servers, integrations, machine learning models, and shared services • Developing AI-powered products that automate clinical, operational, financial, and patient-facing workflows across the Curve platform • Building, training, evaluating, deploying, monitoring, and continuously improving machine learning models and intelligent services running in production • Developing reusable MCP tools, APIs, and platform components that accelerate AI development across multiple platform teams • Writing high-quality production code while leveraging modern AI-assisted development tools, including Claude Code, to improve software quality and development productivity • Participating in technical design discussions, code reviews, testing, production deployments, and production support throughout the software development lifecycle • Working closely with Product, UX, Architecture, and development teams to transform business requirements into secure, scalable, maintainable software • Continuously improving AI capabilities through experimentation, prompt engineering, model tuning, evaluation, monitoring, and operational feedback • Taking ownership of production software by troubleshooting complex issues, improving reliability, and helping deliver exceptional customer experiences
• 5+ years of professional software development experience building scalable SaaS applications • 2+ years designing, building, and deploying production AI applications, platforms, or intelligent workflow solutions • Demonstrated experience taking AI-powered solutions from proof-of-concept through production deployment and continuously improving them through evaluation, monitoring, iteration and operational feedback • Demonstrated experience writing high-quality production code and supporting production software • Strong expertise in modern backend development, with experience in Python or similar technologies • Experience building intelligent agents, MCP servers, AI tools, or similar integration architectures • Experience training, deploying, evaluating, and maintaining machine learning models in production • Experience working with LLMs, embeddings, Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering • Strong understanding of distributed systems, APIs, cloud-native architectures, and modern software development practices • Experience participating in technical design discussions, code reviews, and collaborative software development • Experience using AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot, or similar technologies • Thrives in a fast-paced environment, embraces ownership, and enjoys solving difficult development challenges.
• Health insurance • Professional development opportunities
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