Junior Generative AI Engineer – Hybrid Toronto

Capgemini; Toronto, Mississauga; Hybrid; CAD 46,000 - 100,000; Full time

Job summary

Capgemini is hiring a Generative AI Junior Developer to work in Toronto or Mississauga, in-office three days per week. The role targets 1–2 years of post-graduation experience and focuses on designing and delivering GenAI and agentic AI solutions for clients and internal teams.

You will leverage Azure OpenAI, Databricks, and ML tooling to build scalable AI systems while ensuring governance, security, and compliance in a collaborative environment.

Qualifications

• 2 years and less of professional work experience in designing, developing and implementing large language model (Open AI GPT's/other popular LLM's) implementations using Azure OpenAI service/Databricks.
• Hands-on experience with Azure Machine Learning Studio, Notebooks, CLI, Experiment Management, Model Registry, Deployment options, and Monitoring.
• Proficient in MLOps and LLMOps, specializing in Computer vision and Natural language tasks like instance segmentation, object detection, image classification, text classification, QA, translation and text generation.
• Design, develop, and implement machine learning models, focusing on generative AI and NLP based on customer requirements.
• Data integration using Azure Data Factory and Data Lake Storage for AI and machine learning workloads.
• Security and access control with Azure Active Directory and Azure RBAC within the Azure Machine Learning workspace.
• Strong proficiency in machine learning frameworks such as TensorFlow, PyTorch.

Responsibilities

• Design and develop Generative AI and Agentic AI based solutions according to client needs considering data integration, scalability, and security.
• Serve as the subject matter expert on AI technologies, hands-on development of GenAI solutions.
• Evaluate and select appropriate generative AI components and algorithms based on project objectives.
• Extensive knowledge and confidence in concepts of Deep Learning, Natural Language Processing and model building.
• Define governance frameworks for the ethical use of generative AI technologies and ensure compliance with regulatory requirements.

Skills

Generative AI

Azure OpenAI

NLP

MLOps

Deep Learning

Python

Tools

Azure ML Studio

Databricks

TensorFlow

PyTorch

Job description

Capgemini is hiring a Generative AI Junior Developer to work in Toronto or Mississauga, in-office three days per week. The role targets 1–2 years of post-graduation experience and focuses on designing and delivering GenAI and agentic AI solutions for clients and internal teams.

You will leverage Azure OpenAI, Databricks, and ML tooling to build scalable AI systems while ensuring governance, security, and compliance in a collaborative environment.