AI/ML Software Developer

Curve Dental • Calgary, AB

17h

About The Position

As an AI Software Developer, you’ll work alongside our Architecture, Development and Product teams to build and deliver intelligent capabilities across the Curve platform. Your responsibilities will include designing, building, testing, and delivering production AI capabilities, including intelligent agents, workflows, MCP servers, integrations, machine learning models, and shared services. You will develop AI-powered products that automate clinical, operational, financial, and patient-facing workflows across the Curve platform. You will also be responsible for building, training, evaluating, deploying, monitoring, and continuously improving machine learning models and intelligent services running in production. Additionally, you will develop reusable MCP tools, APIs, and platform components that accelerate AI development across multiple platform teams. You will write high-quality production code while leveraging modern AI-assisted development tools, including Claude Code, to improve software quality and development productivity. You will participate in technical design discussions, code reviews, testing, production deployments, and production support throughout the software development lifecycle. You will work closely with Product, UX, Architecture, and development teams to transform business requirements into secure, scalable, maintainable software. You will continuously improve AI capabilities through experimentation, prompt engineering, model tuning, evaluation, monitoring, and operational feedback. You will take ownership of production software by troubleshooting complex issues, improving reliability, and helping deliver exceptional customer experiences.

Requirements

• 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

Nice To Haves

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

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed