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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.
Key Skills
Ranked by relevance
ai
cloud
data visualization
design patterns
devops
cicd
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- Posted
- Dec 10, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Toronto
- Company
- NLB Services
Industries
IT Services
IT Consulting
Categories
Information Technology
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