Senior Project Manager
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- Years of Experience: 10-15 Years
- Posting language
- English
- Posted
Original job description
Data AI Specialist
Location: PCS CA~TORONTO
Years of Experience: 10-15 Years
Job Summary: We are seeking a highly skilled Data Engineer with extensive experience in agentic frameworks and generative AI. The ideal candidate will be responsible for designing and implementing data solutions that leverage LangChain and LangGraph, while integrating with Azure AI Foundry. The role requires a strong understanding of metric-based evaluations and the ability to work with LLMs as judges in data processing workflows.
Responsibilities
- Design and implement data pipelines using agentic design patterns.
- Utilize LangChain and LangGraph for data processing and analysis.
- Integrate and optimize data solutions with Azure AI Foundry.
- Conduct metric-based evaluations to assess data quality and performance.
- Implement multithreading and asynchronous programming using Python and AsyncIO.
- Collaborate with DevOps teams to ensure seamless CI/CD processes.
- Manage infrastructure using Docker and Terraform.
- Proven experience with generative AI technologies.
- Strong proficiency in Python, particularly in AsyncIO and multithreading.
- Experience with LangChain and LangGraph frameworks.
- Familiarity with Azure AI Foundry and its integration capabilities.
- Solid understanding of metric-based evaluation methodologies.
- Experience with DevOps practices and tools.
- Knowledge of Docker and Terraform for infrastructure management.
- Familiarity with CI/CD pipelines and best practices.
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
- 10-15 years of relevant experience in data engineering or a similar role.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
10-15Years
More about this job
Responsibilities
Design and implement data pipelines using agentic patterns, LangChain, and LangGraph, and integrate data solutions with Azure AI Foundry. Evaluate data quality and performance using metrics and LLM-based judges, while supporting asynchronous Python workflows and collaborating on CI/CD and infrastructure management.
Requirements
The role requires 10–15 years of relevant experience, a bachelor's or master's degree in a related field, and strong skills in generative AI, Python AsyncIO and multithreading, LangChain, LangGraph, Azure AI Foundry, and metric-based evaluation. DevOps, Docker, Terraform, and CI/CD experience are preferred, along with strong analytical, problem-solving, communication, and collaboration abilities.
Skills
- Generative AI
- Python
- AsyncIO
- Multithreading
- LangChain
- LangGraph
- Azure AI Foundry
- Metric-Based Evaluation
- Data Engineering
- Data Pipelines
- Docker
- Terraform
- DevOps
- CI/CD
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Management & Leadership
Keywords
- Data Engineering
- Generative AI
- Agentic Frameworks
- Agentic Design Patterns
- Python
- AsyncIO
- Multithreading
- LangChain
- LangGraph
- Azure AI Foundry
- Large Language Models
- LLM-Based Evaluation
- Metric-Based Evaluation
- Data Pipelines
- Data Quality
- Data Processing
- DevOps
- CI/CD
- Docker
- Terraform
- Infrastructure Management
- Data Analysis