Full-Stack Software Engineer (AI / ML Exposure)

Testlify, Inc.; Canada; On-site; CAD 90,000 - 140,000; Full time

Benefits offered by this job

Health Insurance

Flexible Working Style

Job summary

Testlify, Inc. is seeking a Full-Stack Software Engineer with AI/ML exposure to build scalable web applications and integrate AI features into production systems.

The role combines frontend and backend work, collaborating with ML engineers and data scientists to deliver AI-enabled products. You will design end-to-end solutions, participate in architecture discussions, and contribute to CI/CD pipelines while ensuring security and performance across distributed systems.

Qualifications

• Bachelor's or Master's degree in Computer Science or related field
• 3-6+ years of professional software engineering experience
• Strong experience building full-stack web applications and APIs
• Proficiency in at least one frontend and one backend framework
• Experience integrating APIs and third-party services
• Solid understanding of data structures, algorithms, and system design

Responsibilities

• Design, build, and maintain full-stack applications serving large-scale users
• Develop frontend experiences and backend APIs that integrate with AI/ML services
• Collaborate with ML engineers and data scientists to embed AI features into products
• Build and maintain scalable, secure, and performant systems
• Participate in system design, code reviews, and architectural discussions
• Debug production issues and improve reliability and observability
• Contribute to CI/CD pipelines and automated testing frameworks

Skills

Full-stack development

API integration

System design

Education

Bachelor's or Master's in Computer Science

Tools

React

Angular

Vue

REST

GraphQL

Job description

Full-Stack Software Engineer (AI / ML Exposure)

Employment type

Full Time

Location

Hybrid

Role Overview:

Full-Stack Software Engineers build end-to-end user-facing and backend systems that support modern, AI-enabled products. This role focuses on delivering scalable web applications while integrating AI/ML capabilities into production systems.

Key Responsibilities:

• Design, build, and maintain full-stack applications serving large-scale users
• Develop frontend experiences and backend APIs that integrate with AI/ML services
• Collaborate with ML engineers and data scientists to embed AI features into products
• Build and maintain scalable, secure, and performant systems
• Participate in system design, code reviews, and architectural discussions
• Debug production issues and improve reliability and observability
• Contribute to CI/CD pipelines and automated testing frameworks

Required Qualifications:

• Bachelor's or Master's degree in Computer Science or related field
• 3-6+ years of professional software engineering experience
• Strong experience building full-stack web applications
• Proficiency in at least one frontend and one backend framework
• Experience integrating APIs and third-party services
• Solid understanding of data structures, algorithms, and system design

Preferred Qualifications:

• Experience working with AI-powered features (e.g., search, recommendations, chat)
• Familiarity with ML inference APIs or model-serving systems
• Experience building distributed or cloud-native systems
• Understanding of security, performance optimization, and scalability
• Frontend: React, Angular, Vue
• APIs: REST, GraphQL
• Flexible Working Style
• Diversity and Inclusion
• Learn And Grow
• Balanced Working Life
• Health Insurance

Testlify is deeply committed to creating a workplace and global community where inclusion is not only valued but prioritized. We’re proud to be an equal-opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neurodiversity, disability, age, or any other non-merit-based or legally protected grounds.