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Virtusa

AI Engineer

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
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Experience
Years of Experience: 10-15 Years
Posting language
English
Posted

Original job description

Job Requirements

EIM Senior AI Engineer

Location: PCS CA~TORONTO

Years of Experience: 10-15 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.
  • Follow MLOps best practices for model deployment, monitoring, and governance.
  • Ensure security, scalability, and reliability of AI platforms and services.

Mandatory Skills

  • Strong in Python and SQL (Advanced Level: 7 to 10 Years)
  • AWS Bedrock
  • AWS SageMaker
  • LLM fine-tuning
  • LangGraph
  • RAG (Retrieval-Augmented Generation)

Preferred Skills

  • AWS Certifications (AWS Certified Machine Learning, AWS Solutions Architect, or related certifications)

Qualifications

Experience in AI Engineering is a deal breaker. Candidates should possess a strong background in AI technologies and demonstrate the ability to deliver high-quality AI solutions in a collaborative environment.

Work Experience

10-15Years
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More about this job

Responsibilities

Design, develop, and deploy scalable generative AI solutions on AWS, including RAG systems, fine-tuned LLMs, and multi-step agent workflows. Integrate AI models with enterprise systems, optimize performance and cost, and follow MLOps practices for deployment, monitoring, security, and governance.

Requirements

Requires 10–15 years of AI engineering experience and advanced Python and SQL skills, with 7–10 years specified for those programming skills. Mandatory expertise includes AWS Bedrock, AWS SageMaker, LLM fine-tuning, LangGraph, and RAG; relevant AWS certifications are preferred.

Skills

  • Python
  • SQL
  • AWS Bedrock
  • AWS SageMaker
  • LLM Fine-Tuning
  • LangGraph
  • Retrieval-Augmented Generation
  • Generative AI
  • AI Engineering
  • Data Pipelines
  • MLOps
  • Model Deployment
  • Model Monitoring
  • AI Agents

Visa sponsorship

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Categories

  • Technology
  • Software
  • Data & Analytics
  • Engineering
  • Consulting

Keywords

  • Artificial Intelligence
  • Generative AI
  • AI Engineering
  • Python
  • SQL
  • AWS
  • AWS Bedrock
  • AWS SageMaker
  • Large Language Models
  • LLM Fine-Tuning
  • LangGraph
  • Retrieval-Augmented Generation
  • RAG
  • AI Agents
  • Agent-Based Frameworks
  • Data Pipelines
  • Enterprise Knowledge Retrieval
  • Question-Answering Systems
  • APIs
  • Databases
  • Cloud Services
  • MLOps
  • Model Deployment
  • Model Monitoring
  • Model Governance
  • AI Model Performance
  • AWS Solutions Architect
  • IT Services
  • IT Consulting

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