AI Engineer

Old Toronto
|10 years of exp
|Full Time

Posted: 4 days ago

Job Location

Old Toronto

Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed

Skills

Python

SQL

AWS SageMaker

AWS Bedrock

Langgraph

LLM Fine-Tuning

RAG (Retrieval-Augmented Generation)

About the job

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