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Gen AI Developer

Toronto, Ontario, Canada
Full-time
Posted 1 week ago
Mid-Senior level
On-site
AIMLData SciencePrompt EngineeringInformation TechnologyIT Services and IT Consulting

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Job Description

Job Description – Generative AI Developer
Experience range: 6-8 years

Role & Responsibilities


  • Assist in designing and building Generative AI solutions using Python, Java, and cloud technologies

  • Support advanced analytics and AI development initiatives across business use cases

  • Apply Machine Learning, Deep Learning, and NLP concepts to real-world problems

  • Develop reusable, efficient, and testable code for AI/ML applications

  • Work with Generative AI tools (e.g., Microsoft Copilot) to enable AI-assisted development

  • Assist in code generation and automation using AI-driven approaches

  • Deploy, integrate, and test AI/ML models in cloud environments (AWS, Azure, or GCP)

  • Collaborate with senior engineers and data scientists to translate business needs into AI solutions

  • Analyze problems, break them down into manageable components, and implement practical solutions

  • Document technical approaches, experiments, and learnings


Must-Have Skills & Qualifications


  • Fundamental knowledge of Machine Learning, Deep Learning, and NLP

  • Strong proficiency in Python programming

  • Ability to apply AI/ML theories to practical business use cases

  • Experience writing clean, reusable, and testable code

  • Hands-on exposure to Generative AI tools (e.g., Microsoft Copilot)

  • Understanding of AI-assisted development and code generation

  • Familiarity with cloud platforms (AWS, Azure, or GCP)

  • Experience deploying or integrating ML/AI models in cloud environments

  • Strong analytical, problem-solving, and logical reasoning skills

  • Ability to work independently and collaboratively in a team environment


Good-to-Have Skills


  • Hands-on experience with TensorFlow, PyTorch, or similar AI/ML frameworks

  • Familiarity with Prompt Engineering and working with LLM APIs (OpenAI, Anthropic, etc.)

  • Basic understanding of model evaluation metrics (precision, recall, F1-score)

  • Knowledge of data preprocessing and feature engineering

  • Exposure to Java-based AI integrations or backend development

  • Understanding of AI agents and autonomous workflows


Essential Skills (ATS Keywords)


  • Generative AI

  • Python

  • Machine Learning

  • Artificial Intelligence (AI)

  • AI Agents

  • Cloud Computing

Source: LinkedIn
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