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Intuitive.aiVerified Job Source

Generative AI Engineer

The GenAI Engineer will design, build, and maintain full-stack GenAI applications, integrating AI capabilities into products for customers and employees. They will also develop scalable backend services and implement security and monitoring for AI-enabled solutions.

  • Remote
  • Canada
  • Posted Jul 9, 2026
  • 1 position

Job summary

About us: Intuitive.AI is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an "Engineering Company" delivering measurable value and key business outcomes. Intuitive Superpowers: - DataOps & AI/ML - Cloud Native, AppSecOps, DevSecOps - Cloud Migration & Transformation - Cloud FinOps - Cybersecurity (App/Data/Infra) & GRC - SDx & Digital Workspace We are proud to partner with some of the world's leading enterprises and serve 200+ customers across different industry verticals. We have achieved many milestones along the way, including being recognized as a top-10 fast-growth 150 IT company in the Americas by CRN in 2022 and being named one of America's fastest-growing private companies by INC 5000 in 2022. That’s not all! Even CIO Review awarded us as the Most Promising Cloud Migration Company and Artificial Intelligence Solutions Provider in 2022. About the job: Title – GenAI Engineer Start date: Immediate Position Type: Full Time Location: Remote across Canada Key Skills: Agent Development, Agentic AI, LLM, RAG, Python, Data Pipeline Job Description: We are looking for a GenAI Engineer to build and deploy AI-powered applications that enhance customer and employee experiences. This is a software engineering role focused on delivering production-grade AI solutions, not machine learning research or data science. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field. Strong full-stack development experience. Experience building and deploying GenAI applications using LLMs, RAG, AI agents, and related technologies. Experience developing APIs, microservices, and cloud-native applications. Proficiency with AI-assisted and AI-native software development practices, including tools such as GitHub Copilot and Cognition Devin. Strong understanding of CI/CD, testing, security, and software engineering best practices. Responsibilities Design, build, and maintain full-stack GenAI applications. Integrate AI capabilities into customer-facing and employee-facing products. Develop scalable backend services, APIs, and modern web experiences. Implement security, governance, observability, and monitoring for AI-enabled solutions. Collaborate with business and technology teams to deliver production-ready solutions.

What you’ll do

The GenAI Engineer will design, build, and maintain full-stack GenAI applications, integrating AI capabilities into products for customers and employees. They will also develop scalable backend services and implement security and monitoring for AI-enabled solutions.

Requirements

Candidates should have a bachelor's degree in a relevant field and strong full-stack development experience. They must also have experience building and deploying GenAI applications using LLMs and related technologies.

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Agent Development
  • Agentic AI
  • LLM
  • RAG
  • Python
  • Data Pipeline

Job areas

  • Technology
  • Software
  • Engineering
  • Data & Analytics
  • Consulting

Additional details

Minimum education
Bachelor’s degree
Minimum experience
5+ years
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level
Application method
Direct apply is available