5 months ago
Toronto, CanadaEntry Level
Responsibilities
- Assist in building and integrating AI-powered features into backend applications and workflows.
- Work with LLM APIs, machine learning models, and automation pipelines for intelligent product experiences.
- Develop and maintain backend APIs, microservices, and integrations.
- Support scalable data pipelines and workflows for AI-enabled applications.
- Participate in testing, debugging, monitoring, and improving production systems.
- Contribute to technical documentation, API specifications, architecture discussions, and code reviews.
- Collaborate with cross-functional and senior engineering teams to translate requirements into technical solutions.
- Apply software engineering, cloud development, and AI integration best practices.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI, or a related field.
- Internship, co-op, academic project, or personal project experience in software engineering, AI/ML, or backend development.
- Proficiency in Python and familiarity with TensorFlow, PyTorch, or Scikit-learn.
- Understanding of backend development concepts including APIs, microservices, and databases.
- Familiarity with JavaScript, TypeScript, or Node.js is an asset.
- Exposure to REST APIs, SQL, and AWS or GCP through coursework, internships, or projects.
- Interest in AI/ML technologies, LLMs, and intelligent automation tools.
- Understanding of software development fundamentals including testing, version control, and Agile development practices.
- Strong problem-solving, communication, collaboration, and willingness to learn.
- Nice-to-have experience includes AI or data-platform projects, Docker, Git, Kafka, cloud deployment workflows, data engineering, ETL pipelines, analytics systems, distributed systems, event-driven architectures, open-source contributions, technical clubs, or developer communities.
Tech Stack
Apache KafkaAWSDockerGitGoogle Cloud PlatformJavaScriptNode.jsPythonPyTorchscikit-learnSQLTensorFlowTypeScript
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.