AI/ML Platform Software Developer

Job summary

Design, build, test, and operate production AI services, agentic workflows, MCP servers, machine learning capabilities, and reusable platform components. Help shape the AI platform’s technical direction, own AI capabilities from proof of concept through production, and support quality through design reviews, code reviews, mentoring, monitoring, and iteration.

Job details

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–$200K 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 How to Apply Apply with your resume. Shortlisted candidates will be contacted by Cornerbridge Talent Partners.

What you’ll do

Design, build, test, and operate production AI services, agentic workflows, MCP servers, machine learning capabilities, and reusable platform components. Help shape the AI platform’s technical direction, own AI capabilities from proof of concept through production, and support quality through design reviews, code reviews, mentoring, monitoring, and iteration.

Requirements

Requires 8+ years of software development experience and 3+ years designing and deploying production AI applications or intelligent workflow systems. Candidates should have strong backend engineering skills, ideally in Python, and experience with agentic AI, MCP or similar integration frameworks, machine learning, LLM applications, distributed systems, APIs, and cloud-native architectures.

Listed skills

• Machine learning · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Software Development
• Python
• Production AI Systems
• Agentic AI
• MCP Servers
• Machine Learning
• LLM Applications
• Backend Engineering
• Distributed Systems
• API Development
• Cloud-Native Architecture
• RAG
• Vector Databases
• MLOps
• Technical Design
• Code Reviews

Job areas

• Software
• Technology
• Engineering
• Data & Analytics