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Virtusa

AI Engineer

Toronto, ON, Canada

Full-time

Within 25 km of Vaughan · About 22.9 km from the city centre

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Job details

Job type: Full-time
Apply by: Dec 12, 2026
Posted: Nov 12, 2026

Original job description

Job Requirements

AI Engineer

Location: PCS CA~TORONTO

Years of Experience: 7-10 Years

Job Summary: We are seeking a highly skilled AI Engineer with strong expertise in Python, SQL, AWS Bedrock, AWS SageMaker, LangGraph, LLM Fine-Tuning, and Retrieval-Augmented Generation (RAG). The ideal candidate will be responsible for designing, developing, and deploying scalable AI/GenAI solutions, building intelligent agents, fine-tuning Large Language Models (LLMs), and implementing enterprise-grade AI applications on AWS.

Responsibilities

Design, develop, and deploy Generative AI solutions using AWS services.
Build and optimize AI applications leveraging AWS Bedrock and AWS SageMaker.
Develop and maintain scalable data pipelines using Python and SQL.
Implement and enhance Retrieval-Augmented Generation (RAG) architectures for enterprise knowledge retrieval and question-answering systems.
Fine-tune open-source and foundation LLMs to improve domain-specific performance and accuracy.
Design and orchestrate multi-step AI workflows using LangGraph and agent-based frameworks.
Integrate AI models with enterprise applications, APIs, databases, and cloud services.
Evaluate, monitor, and optimize AI model performance, latency, and cost.
Collaborate with business stakeholders, architects, and engineering teams to translate requirements into AI-driven solutions.

Mandatory Skills

8+ years of software engineering, platform engineering, or DevOps experience with strong software development experience in Python.
Deep expertise with Kubernetes and Amazon EKS.
Strong hands-on experience with Terraform, ArgoCD, and Jenkins.
Experience with AWS networking concepts including VPC, Route Tables, Security Groups, Load Balancers, DNS, IAM.
Experience working with containers and container orchestration platforms.

Preferred Skills

AWS Certifications (AWS Certified Machine Learning, AWS Solutions Architect, or related certifications).
Some experience with KDBx, Nvidia NIMs, Grafana would be a bonus.

Qualifications

Proven track record of delivering AI solutions in a collaborative environment, with a focus on continuous improvement and operational excellence.

Work Experience

7-10Years

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More about this job

Responsibilities

Design, develop, and deploy scalable generative AI solutions on AWS, including RAG systems, fine-tuned language models, and agent workflows. Integrate AI with enterprise systems and data pipelines, and evaluate and optimize model performance, latency, and cost in collaboration with stakeholders and engineering teams.

Requirements

The posting seeks 7–10 years of experience and emphasizes Python software development, Kubernetes and Amazon EKS, Terraform, Argo CD, Jenkins, containers, and AWS networking. It also calls for hands-on expertise with AWS Bedrock, SageMaker, LangGraph, LLM fine-tuning, and RAG; AWS certifications are preferred, and KDBx, Nvidia NIMs, or Grafana are bonuses.

Skills

Python
SQL
AWS Bedrock
AWS SageMaker
LangGraph
Large Language Model Fine-Tuning
Retrieval-Augmented Generation
Kubernetes
Amazon EKS
Terraform
Argo CD
Jenkins
AWS Networking
Container Orchestration
AI Agent Development
Data Pipelines

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Generative AI
Python
SQL
AWS Bedrock
AWS SageMaker
LangGraph
Large Language Models
LLM Fine-Tuning
Retrieval-Augmented Generation
RAG
AI Agents
Kubernetes
Amazon EKS
Terraform
Argo CD
Jenkins
AWS Networking
Virtual Private Cloud
Route Tables
Security Groups
Load Balancers
DNS
IAM
Containers
Container Orchestration
Data Pipelines
AWS Certifications
Nvidia NIMs
Grafana

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