Posted 5 days ago
Description
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
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