Senior Project Manager

Virtusa; Toronto; Presencial; CAD 120.000 - 170.000; Jornada completa

Descripción de la vacante

Virtusa Corporation in Toronto seeks a highly skilled Data Engineer / Data AI Specialist to design and implement data pipelines using agentic patterns, leveraging LangChain and LangGraph with Azure AI Foundry.

You'll apply metric-based evaluations, build multithreaded Python workflows with AsyncIO, and collaborate with DevOps to ensure robust CI/CD, infrastructure management with Docker and Terraform. Ten to fifteen years of experience is preferred.

Formación

• Bachelor's or Master's degree in CS/Data Engineering required.
• 10-15 years of relevant data engineering experience.
• Strong Python skills with AsyncIO and multithreading.
• Experience with LangChain and LangGraph.
• Familiarity with Azure AI Foundry integration.

Responsabilidades

• 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.

Conocimientos

Generative AI

Python AsyncIO

Multithreading

LangChain

LangGraph

Azure AI Foundry

Metric-based evaluations

Educación

Bachelor's or Master's degree in CS/Data Eng

Herramientas

Docker

Terraform

CI/CD tooling

Descripción del empleo

Job Requirements

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.

Mandatory Skills

• 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.

Preferred Skills

• Experience with DevOps practices and tools.
• Knowledge of Docker and Terraform for infrastructure management.
• Familiarity with CI/CD pipelines and best practices.

Qualifications

• 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.

Work Experience

10-15Years