AI Engineer / Data Engineer - Agentic AI
CAD 96K-145K (estimate) Senior-level Full Time
Tasks
- Apply responsible AI security and compliance best practices
- Automate deployment testing and maintenance
- Build RAG data architectures
- Collaborate with Data Science MLOps and software teams for production deployment
- Create agent workflows with agent frameworks
- Deliver proof of concept and support industrialization
- Design and implement large-scale AI models
- Design and manage knowledge bases and vector stores
- Develop and maintain data pipelines ETL
- Develop connectors to enterprise systems
- Ensure data quality, governance, security, and traceability
- Evaluate and integrate foundation models
- Implement observability monitoring and evaluation
- Integrate generative AI agentic workflows
- Manage agent context memory and knowledge
- Optimize LLM cost latency and performance
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Autogen | Cloud services | CrewAI | Data Governance | Data Pipelines | Data Security | ETL | LLM | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Monitoring | Observability | Performance Evaluation | Python | RAG | Retrieval-Augmented Generation | SQL | Semantic Kernel | Semantic Search | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
Roles
AI | AI Engineer | Data Engineer | Engineer
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