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AI/ML Platform Software Developer

Curve Dental
Calgary, CAN
Full Time
Senior
2 weeks ago
PythonAgentic AIMachine LearningLLMMCP ServersLangGraph
Free

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About Curve Dental

  • Curve Dental is the leading cloud based dental practice management platform, helping thousands of dental practices streamline operations, improve patient experiences, and grow their businesses.
  • We’re entering the next phase of the Curve platform. We believe the future of dental software isn’t simply AI powered, it is AI enabled.
  • Curve is building a shared intelligence platform that brings agentic AI into every aspect of the dental practice.

What You’ll Do

  • Partnering with the Architecture team to evolve Curve’s AI platform and establish development standards, reusable frameworks, and development patterns that enable teams to build intelligent applications at scale.
  • Collaborating on the technical design, development, testing, and delivery of production services, agentic workflows, MCP servers, machine learning capabilities, and shared platform components.
  • Writing high quality production code while leveraging modern AI assisted development tools, including Claude Code, to improve engineering productivity and software quality.
  • Working side by side with developers, product managers, and UX designers to transform business requirements into secure, scalable, maintainable production software.
  • Performing technical design reviews, performing code reviews, mentoring developers, and contributing hands on throughout the entire software development lifecycle.
  • Solving complex development challenges involving distributed systems, intelligent workflows, APIs, cloud native services, and modern AI technologies.
  • Continuously evaluating emerging AI technologies, frameworks, and development practices, bringing practical ideas that improve both our products and the way we build them.
  • Partnering with internal development teams and external partners to build, extend, and continuously evolve Curve’s AI platform.
  • Taking ownership of production software by helping troubleshoot complex issues, improving reliability, and ensuring our AI capabilities meet the high standards our customers expect.

Required Qualifications

  • 8+ years of professional software development experience building scalable SaaS applications.
  • 3+ years designing, building, and deploying production AI applications, platforms, or intelligent workflow solutions.
  • Demonstrated experience taking AI 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 delivering software that customers rely on every day.
  • Strong expertise in modern backend development, with experience in Python or similar technologies.
  • Experience building or extending agentic AI systems, MCP servers or similar integration frameworks, machine learning solutions, and LLM based applications.
  • Strong understanding of distributed systems, APIs, cloud native architectures and modern software development practices.
  • Experience participating in technical architecture discussions and collaborating across development teams to solve complex technical challenges.
  • Passion for mentoring developers through technical design, code reviews, pair programming, and hands on collaboration.
  • Experience supporting and operating production software, including troubleshooting complex issues and driving problems through resolution.
  • Experience using AI assisted development tools such as Claude Code, Cursor, GitHub Copilot, or similar technologies with a desire to continually improve productivity and quality.
  • Thrives in a fast paced environment, embraces ownership, and enjoys tackling difficult technical challenges wherever they arise.

Preferred Qualifications

  • Production AI platforms (LangGraph, Amazon Bedrock, OpenAI, Anthropic, or similar technologies).
  • Agentic AI frameworks and MCP servers, and AI integration ecosystems.
  • Retrieval Augmented Generation (RAG), vector databases, and semantic search.
  • Production AI operations, including model deployment, evaluation, observability, governance, or MLOps.
  • Conversational AI, speech technologies or customer facing AI applications.
  • Building AI capabilities within large scale, multi tenant SaaS platforms.
  • Experience building software in healthcare or other highly regulated environments.

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