Location: Richmond Hill, Ontario

We are seeking a motivated Junior to Intermediate AI Engineer to support the design,

development, and deployment of AI solutions within a Google Cloud ecosystem. This role is

ideal for candidates with a strong software engineering foundation and hands-on exposure to

AI/ML technologies, cloud platforms, and conversational interfaces.

You will work alongside senior architects, AI leads, cloud engineers, and client stakeholders to

deliver scalable AI solutions.

The ideal candidate is technically curious, collaborative, and eager to grow in modern AI

technologies including LLMs, NLP, Vertex AI, Dialogflow, and cloud-native AI services.

Must Have Skills:

Design, develop, and deploy AI/ML and Generative AI solutions within a Google Cloud

ecosystem.

Support implementation of intelligent applications, automation workflows, and AI-powered

customer experience solutions.

Develop backend services, APIs, integrations, and inference endpoints supporting AI

applications.

Assist with AI/ML pipelines including data preparation, model deployment, testing, monitoring,

and optimization.

Work with Google Cloud technologies such as:

Vertex AI

BigQuery

Cloud Storage

Cloud Run

Pub/Sub

Dataflow

GKE

GECX/Dialogflow/CCAI

Support deployment, troubleshooting, and performance optimization across AI applications,

cloud infrastructure, and integrations.

Contribute to scalable, secure, and production-ready AI architectures following engineering and

cloud best practices.

Analyze application and user interaction data to improve AI model performance and business

outcomes.

Collaborate with senior engineers, architects, and client stakeholders to translate business

requirements into technical AI solutions.

Participate in proof-of-concepts, demos, workshops, and client solution discussions.

Contribute to reusable AI accelerators, templates, technical documentation, and engineering

best practices.

Nice to Have Skills:

Exposure to Conversational AI platforms such as Dialogflow CX or other chatbot/virtual

assistant technologies.

Familiarity with NLP/NLU concepts, conversational design, or voice/chatbot implementations.

Experience supporting customer experience or contact center AI solutions is considered an

asset.