Artificial Intelligence Engineer

Role: AI Engineer

Location: Toronto ON (Hybrid 3 days in a week)

Type of Hire: FTE

Key Responsibilities:

Design, develop, and deploy conversational AI solutions leveraging LangGraph, RAG (Retrieval-Augmented Generation), and Vector Databases .

Build and optimize Conversational BI (Business Intelligence) frameworks for data interaction and analysis.

Implement scalable AI workflows and pipelines using Python and SQL .

Utilize Azure OpenAI and AWS services to integrate AI capabilities with enterprise-grade cloud infrastructure.

Collaborate with cross-functional teams to translate business needs into AI-driven products.

Continuously improve system performance, scalability, and reliability of deployed AI solutions.

Required Skills & Qualifications:

6+ years of hands-on software development experience.

Proficiency in Python and SQL for data manipulation and backend logic.

Proven expertise with Azure OpenAI and AWS cloud services.

Experience in building conversational AI apps using LangGraph and RAG methodologies.

Familiarity with Vector Databases (e.g., FAISS, Pinecone, Weaviate) for semantic search and knowledge retrieval.

Strong understanding of conversational design patterns and data visualization in BI systems.

Preferred Qualifications:

Background in data engineering, NLP, or machine learning.

Experience integrating AI solutions into enterprise systems or BI tools like Power BI/Tableau.

Knowledge of CI/CD practices and DevOps tools in cloud environments.