Associate AI Engineer

About ShyftLabs

ShyftLabs has been building data-driven digital solutions since 2020, helping Fortune 500 businesses unlock growth and deliver measurable impact. With teams in Canada, the U.S., and India, the company is expanding quickly and is seeking people who are eager to learn, build, and solve meaningful problems with technology.

Role Overview

The company is hiring a new graduate Associate AI Engineer to join its engineering team. This position is designed for an early-career professional who wants to work where artificial intelligence and backend software engineering meet.

You will contribute to AI-enabled features that run inside real applications and data platforms. The role involves partnering with engineers, product managers, and architects to create scalable backend services, connect AI tools and APIs, and help deliver production systems for enterprise customers.

This is a practical engineering role with strong mentorship, making it a good fit for someone interested in both software development and applied AI.

Key Responsibilities

• Support the development and integration of AI-based capabilities into backend applications and operational workflows.
• Work with large language model APIs, machine learning models, and automation pipelines to improve product experiences.
• Build and maintain backend APIs, microservices, and system integrations using modern development tools and frameworks.
• Partner with cross-functional stakeholders to convert business needs into technical solutions.
• Help create scalable data pipelines and workflows for AI-powered products.
• Assist with testing, troubleshooting, monitoring, and continuous improvement of production environments.
• Contribute to technical documentation, API definitions, and architecture conversations.
• Apply engineering best practices across software development, cloud work, and AI integration.
• Take part in code reviews and work with senior engineers to raise code quality and reliability.
• Keep up with new developments in AI, machine learning, and engineering practices.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI, or a closely related field.
• Experience through an internship, co-op, academic project, or personal project in software engineering, AI/ML, or backend development.
• Strong Python skills, with familiarity with libraries or frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Working knowledge of backend concepts including APIs, microservices, and databases.
• JavaScript, TypeScript, or Node.js exposure is considered an advantage.
• Familiarity with REST APIs, SQL, and cloud environments such as AWS or GCP from coursework, internships, or projects.
• Interest in AI/ML tools, including LLMs and intelligent automation.
• Strong analytical thinking and a willingness to learn new technologies quickly.
• Good communication and teamwork skills.
• Understanding of core software development practices such as testing, version control, and Agile methods.

Nice to Have

• Hands-on work in personal, academic, or hackathon projects involving AI or data platforms.
• Exposure to Docker, Git, Kafka, or cloud deployment processes.
• Background in data engineering, ETL workflows, or analytics systems.
• Interest in distributed systems or event-driven architectures.
• Involvement in open-source projects, technical clubs, or developer communities.

Compensation

The salary range for this position is CAD 60,000 to CAD 80,000 per year.

Benefits and Perks

• Hybrid work setup with three days each week in the Toronto office.
• Office location in downtown Toronto.
• Full coverage of health, dental, and vision insurance premiums for employees and dependents, with no out-of-pocket cost. Coverage begins on day one.
• Access to learning and development resources to support ongoing growth.

Inclusion and Equal Opportunity

ShyftLabs is committed to maintaining a safe, diverse, and inclusive workplace. Applications are welcome from people of all backgrounds, including different ethnicities, religions, disability statuses, gender identities, sexual orientations, family situations, ages, and nationalities. Accommodation is available during the interview process if needed.