Junior Generative AI Engineer (2+ Years Experience)

About the Role

We are looking for a motivated Junior Generative AI Engineer to join our team in Brampton. In this role, you will help design, develop, and deploy agentic AI-powered applications, AI agents, and RAG-based systems. You will play a key role in integrating GenAI technologies with our enterprise data platforms, ensuring solutions are robust, safe, and deliver real business value.

Key Responsibilities

AI Engineering

• Design, develop, test, and deploy Agentic AI-powered applications and AI agents.
• Build and enhance Generative AI and machine learning solutions that deliver business value.
• Implement Retrieval Augmented Generation (RAG), prompt engineering, and AI workflow automation patterns.
• Develop reusable APIs, services, and components to accelerate AI delivery.

Data & Platform Integration

• Integrate AI solutions with enterprise applications, data platforms, and business processes.
• Develop and optimize data pipelines and services that support AI applications.
• Contribute to enterprise AI platforms including Gemini Enterprise, Vertex AI, Databricks, and related technologies.

Governance & Operations

• Apply AI governance, security, privacy, and Responsible AI standards.
• Support production deployment, monitoring, troubleshooting, and continuous improvement of AI solutions.
• Document technical designs and collaborate with cross-functional teams to ensure successful delivery.

Requirements

Education & Experience

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Information Technology, Engineering, or a related field (equivalent experience considered).
• Google Cloud, Vertex AI, ML Engineer, Data Engineer, or related cloud / AI certifications.
• Experience building enterprise copilots, chatbots, document intelligence solutions, workflow assistants, or agentic applications.
• Experience implementing observability, quality evaluation, red-teaming, hallucination mitigation, and safety controls for AI systems.
• 2+ years of experience in software engineering, data engineering, machine learning engineering, AI engineering, or related technology delivery roles.

Technical Skills

• Strong programming skills in Python and SQL; experience with APIs, Git, CI/CD, testing, and software engineering practices.
• Experience with Generative AI, LLMs, RAG, vector search, embeddings, prompt engineering, agents, and model evaluation.
• Experience with Google Cloud Platform, Vertex AI, Gemini Enterprise, or comparable cloud AI platforms is preferred.
• Experience with Databricks, Spark / PySpark, Delta Lake, Unity Catalog, MLflow, and modern lakehouse patterns is preferred.
• Familiarity with AI frameworks and tools such as LangChain, LangGraph, CrewAI, AutoGen, FastAPI, Streamlit, Docker, Kubernetes, or related technologies is an asset.
• Understanding of data governance, data quality, metadata, lineage, security, privacy, and Responsible AI practices.

Soft Skills

• Strong problem-solving skills with the ability to translate business needs into practical, scalable engineering solutions.
• Clear communication skills, including the ability to explain AI concepts, risks, limitations, and trade-offs to technical and non-technical stakeholders.
• Demonstrated ownership mindset with a focus on delivery, production reliability, documentation, and continuous improvement.
• Ability to work collaboratively across data, AI, platform, cybersecurity, governance, architecture, business, and vendor teams.
• Curiosity and a learning mindset to keep pace with emerging AI technologies while applying sound enterprise judgment.