Curve Dental Logo

Curve Dental

AI/ML Platform Software Developer

Reposted 2 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Design, build, and operate production AI platform capabilities and agentic workflows. Collaborate on architecture, write production-quality backend code, mentor developers, troubleshoot production issues, and drive adoption of reusable AI frameworks, MLOps practices, and cloud-native intelligent services across a multi-tenant SaaS dental platform.
The summary above was generated by AI

About Curve Dental:

Build the Intelligence Layer for Modern Dentistry

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.  From revenue cycle management and patient communications to scheduling, clinical documentation, insurance workflows, and operational automation, our goal is to create intelligent systems that help practices operate more efficiently while allowing dental teams to focus on delivering exceptional patient care.

To help bring this vision to life, we’re looking for an AI Platform Software Developer to join our team.  Working alongside a highly experienced architecture team, you’ll bring deep expertise in agentic AI, machine learning, and intelligent systems while helping shape how AI is applied across the Curve platform.

This is a hands-on development role where you’ll collaborate on architectural decisions, build production AI capabilities, and help establish the development patterns and practices that enable intelligent applications across our products.  

We move quickly, collaborate closely, and take ownership.  Whether you’re designing a new platform capability, reviewing code, troubleshooting a production issue, or helping another team solve a difficult technical challenge, you’ll be expected to jump in where needed and help deliver the best possible product.

This is an opportunity to help build the AI foundation that will power the next generation of dental software.


What You’ll Do


As an AI Platform Software Developer, you’ll work alongside our Architecture, Development and Product teams to help define and deliver the next generation of intelligent capabilities across the Curve platform.

This is a hands-on engineering role.  You’ll spend the majority of your time designing, building, reviewing, and delivering production software while helping guide the technical direction of AI across the organization.

Your responsibilities will include:

  • 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
What We’re Looking For


We’re looking for an exceptional software developer who combines deep hands-on AI expertise with a passion for building production systems.


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

Experience with one or more of the following:

  • 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


What Success Looks Like

During your first year, you will:

  • Become a trusted member of Curve’s development team and a technical resource for teams across the organization
  • Help shape the technical evolution of our AI platform while contributing to architectural decisions and development standards
  • Design, build, and deliver production AI capabilities that are adopted across the Curve platform
  • Establish reusable frameworks, development patterns, and best practices that accelerate AI development across multiple product teams
  • Help developers leverage AI technologies and modern development tools to improve both software quality, development productivity, and delivery speed
  • Become the developer others seek out when tackling the organization's most challenging AI and platform development problems
  • Contribute to building a platform that enables intelligent workflows across clinical, operational, financial, and patient-facing experiences

Similar Jobs

19 Days Ago
Remote
United States
220K-260K Annually
Senior level
220K-260K Annually
Senior level
Artificial Intelligence • Marketing Tech • Mobile • Software
As a Senior Software Engineer, you'll build and operate the ML platform, optimizing data operations, managing the feature store, and supporting ML initiatives while driving architectural roadmap decisions.
Top Skills: AirflowSparkAWSCloudflareDynamoDBGradleGraphQLHuggingfaceJavaKafkaKinesisKubernetesMetaflowPandasPlanetscalePlaywrightPostgresPythonPyTorchRayReactRedisSpark Structured StreamingSpring BootTensorFlowTerraformTypescriptVite
19 Days Ago
Remote
United States
260K-310K Annually
Senior level
260K-310K Annually
Senior level
Artificial Intelligence • Marketing Tech • Mobile • Software
The Staff Engineer will architect and build AI and ML infrastructures, mentor engineers, and lead high-impact initiatives to enhance ML capabilities across Attentive's platform.
Top Skills: ArgoKubeflowMetaflowMlflowPythonRaySpark
7 Minutes Ago
Easy Apply
Remote
United States of America
Easy Apply
50K-65K Annually
Entry level
50K-65K Annually
Entry level
Information Technology • Cybersecurity
Provide first-line technical support for Huntress products: troubleshoot Windows and macOS issues, guide customers through problem-solving, escalate incidents, follow up to resolution, recommend documentation updates, and continuously grow product and procedural knowledge while delivering excellent customer service.
Top Skills: AntivirusBashGpomacOSWindowsProcess ExplorerProcmonRmmSccmScriptingTerminalWindows Registry

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account