AI/ML Platform Software Developer

Position: AI/ML Platform Software Developer

Location: Calgary, Alberta or Remote — Canada

Experience: 8+ years software development; 3+ years building production AI solutions

Employment Type: Full-Time

Compensation: $180K–$220K CAD base

Cornerbridge Talent Partners is partnering with a private equity-backed, high-growth B2B SaaS platform serving the dental industry .

We’re hiring an AI/ML Platform Software Developer to help build the intelligence layer powering the next generation of the company’s platform. This is a hands‑on engineering role focused on production AI systems, agentic workflows, MCP infrastructure, and reusable platform capabilities.

About the Company

Our client is a private equity-backed software company building a cloud-based practice management platform used by thousands of dental practices across clinical, operational, financial, and patient-facing workflows.

The company is expanding its platform with agentic AI, machine learning, and intelligent automation designed to embed AI across the broader product ecosystem.

What You’ll Do

• Design, build, test, and ship production AI services, agentic workflows, MCP servers, machine learning capabilities, and shared platform components
• Partner with Architecture and engineering teams to shape the technical direction of the AI platform and establish reusable development patterns
• Build secure, scalable production software across distributed systems, APIs, cloud-native services, and intelligent workflows
• Own AI capabilities from proof of concept through production, including evaluation, monitoring, iteration, reliability, and operational support
• Conduct technical design and code reviews while mentoring developers through hands-on collaboration
• Evaluate emerging AI technologies and use modern AI-assisted development tools such as Claude Code, Cursor, and GitHub Copilot

What You Bring

• 8+ years of professional software development experience building scalable SaaS applications
• 3+ years designing and deploying production AI applications, platforms, or intelligent workflow systems
• Strong backend engineering experience, ideally with Python or similar technologies
• Experience building 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
• Track record of writing high-quality production code and owning complex systems in production

Bonus Experience

• LangGraph, Amazon Bedrock, OpenAI, Anthropic, or similar production AI platforms
• RAG, vector databases, semantic search, evaluation, observability, governance, or MLOps
• Conversational AI, speech technologies, or customer-facing AI applications
• Building AI capabilities within large-scale, multi-tenant SaaS or regulated environments

Who This Is For

• A hands‑on builder who still wants meaningful influence over technical architecture and direction
• Someone comfortable moving between platform design, production code, code reviews, and difficult technical problems
• An engineer who wants to help establish the patterns and infrastructure other teams will use to build AI products at scale
• Someone who wants to build production AI systems rather than focus primarily on research or experimentation