AI Engineer

Virtusa Corporation; Toronto; Sur place; CAD 120 000 - 180 000; Plein temps

Résumé du poste

Virtusa Corporation is seeking a senior AI Engineer to design, develop, and deploy scalable GenAI solutions across enterprise systems. You will work with Python, SQL, and AWS Bedrock/SageMaker to build intelligent agents, fine-tune LLMs, and implement retrieval augmented generation.

You will architect data pipelines, integrate models with APIs, monitor performance and cost, and collaborate with stakeholders to translate requirements into AI-driven outcomes.

Qualifications

• 8+ years of software engineering, platform engineering, or DevOps with Python.
• Deep expertise with Kubernetes and Amazon EKS.
• Hands-on with Terraform, ArgoCD, and Jenkins.
• Experience with AWS networking (VPC, routing, security groups, Load Balancers).
• Experience with containers and container orchestration platforms.

Responsabilités

• Design, develop, and deploy Generative AI solutions using AWS services.
• Build and optimize AI applications leveraging AWS Bedrock and SageMaker.
• Develop and maintain scalable data pipelines using Python and SQL.
• Implement and enhance RAG architectures for enterprise retrieval and QA.
• Fine-tune open-source LLMs for domain-specific performance.
• Design multi-step AI workflows using LangGraph and agent frameworks.
• Integrate AI models with enterprise apps, APIs, databases, and cloud services.
• Evaluate, monitor, and optimize AI model performance, latency, and cost.
• Collaborate with stakeholders to translate requirements into AI-driven solutions.

Connaissances

Python

Kubernetes

Terraform

ArgoCD

Jenkins

AWS networking

Container orchestration

Outils

Kubernetes

Terraform

ArgoCD

Jenkins

Description du poste

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