Job opportunity
AI/ML Platform Software Developer
Cornerbridge Talent Partners
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
#J-18808-Ljbffr
Apply on source site 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
#J-18808-Ljbffr