
Associate AI Engineer
ShyftLabs
Posted 2026-05-13
CAD 60,000 - CAD 80,000 per year
Tech & Engg
Job Description
Ovii's Interpretation of the Role
The Associate AI Engineer role is an entry‑level position that blends AI/ML model integration with backend software development. You will build and maintain AI‑powered features, APIs, and data pipelines while collaborating with senior engineers and product teams.
Role Snapshot
- Entry‑level AI/ML engineering
- Hybrid work in Toronto
- Full‑time employment
- Hands‑on backend development
- Mentorship‑rich environment
Must-Have Requirements
- Python
- Backend development concepts (APIs, microservices, databases)
- software engineering
- AI/ML integration
- backend development
- Bachelor's degree in Computer Science, Software Engineering, Data Science, AI, or related field
Nice-to-Have Signals
- TensorFlow
- PyTorch
- Scikit-learn
- JavaScript/TypeScript
- Docker
- Git
- Kafka
- AWS
- GCP
- REST APIs
- SQL
- personal or academic AI projects
- open‑source contributions
- hackathon experience
Work Setup
- Location: Toronto, Canada
- Work mode: HYBRID
- Employment type: Full-Time
Not Specified in JD
- Visa sponsorship
- Travel requirement
- Security clearance
What You'll Likely Work On
- Design and integrate AI‑powered features into backend services
- Develop and maintain microservice APIs and data pipelines
- Work with LLM APIs, ML models, and automation tools
- Collaborate with product managers, architects, and senior engineers to translate business needs into technical solutions
- Write and review production‑ready code, tests, and documentation
- Monitor, debug, and improve the reliability of AI‑enabled systems
- Stay current with emerging AI/ML technologies and best practices
Good Fit If You Have
- Eager to learn and apply new AI/ML techniques quickly
- Strong problem‑solving mindset
- Effective communicator who thrives in cross‑functional teams
Skills
- Python
- Backend APIs & microservices
- Database interaction (SQL)
- Machine‑learning libraries (TensorFlow, PyTorch, Scikit‑learn)
- JavaScript/TypeScript (asset)
- Cloud platforms (AWS, GCP)
- Docker & containerization
- Kafka & event‑driven pipelines