5 months ago
Toronto, CanadaMid Level / Senior
Responsibilities
- Design, develop, test, and maintain scalable full-stack applications, APIs, and cloud-based services.
- Build and enhance AI-powered features using LLMs, AI agents, vector databases, and related technologies.
- Collaborate with developers, architects, product teams, Design, and QA to deliver solutions aligned with technical and business objectives.
- Participate in solution design, technical planning, estimation, and feature implementation throughout the software development lifecycle.
- Write clean, secure, and maintainable code and participate in testing, code reviews, documentation, and architecture work.
- Use AI-assisted development tools and research emerging technologies, AI frameworks, and industry trends to improve development workflows and products.
Requirements
- 2–5 years of professional software development experience.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
- Proficiency in Python, TypeScript/JavaScript, Java, Go, or similar modern programming languages.
- Experience building full-stack applications with modern frontend frameworks and backend APIs or services.
- Familiarity with AWS, Azure, or GCP; SQL or NoSQL databases; Git; CI/CD; and Agile development practices.
- Experience using AI-powered development tools such as GitHub Copilot, Cursor, ChatGPT, or Claude and integrating LLM or AI APIs into applications.
- Strong problem-solving, communication, and collaboration skills, with a focus on clean, maintainable code.
- Passion for learning new technologies and staying current with software engineering and AI trends.
Benefits
- Hybrid work arrangement requiring three days per week in the downtown Toronto office.
- 100% coverage for health, dental, and vision insurance for employees and dependents from day one.
- Continuous learning opportunities and influence over technical direction.
Tech Stack
Categories
About ShyftLabs
ShyftLabs builds and runs enterprise data and AI platforms, combining data engineering, analytics, and responsible AI controls with consulting and managed delivery. It designs governed data infrastructure, customer and retail analytics, and omnichannel marketing data products for large organizations. Founded in 2018 and headquartered in Toronto, the privately held firm serves global clients and staffs teams across Toronto, New York, Dubai, and New Delhi.