Jr.Gen AI Engineer

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.

The Junior Generative AI Engineer will design, develop, and deploy AI-powered applications and systems. They will integrate AI solutions with enterprise data platforms and ensure the delivery of robust and valuable solutions.

Candidates should have a bachelor's degree in a relevant field and at least 2 years of experience in software or AI engineering roles. Strong programming skills in Python and SQL, along with experience in Generative AI technologies, are essential.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• SQL
• APIs
• Git
• CI/CD
• Testing
• Generative AI
• LLMs
• RAG
• Vector Search
• Embeddings
• Prompt Engineering
• Data Governance
• Data Quality
• Machine Learning
• AI Engineering

• Technology
• Data & Analytics
• Software
• Engineering
• Transportation

Formation minimale

Baccalauréat

Expérience minimale

2+ ans

Postuler avant le

14 août 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Entry level

Mode de candidature

La candidature directe est offerte